This document provides a curriculum vitae for Patricia Kelley-Dowd summarizing her experience and qualifications. She has over 10 years of experience in data analysis, report generation, and database management, most recently as the ICT Manager at Coventry Law Centre. She is proficient in Excel, Access, SQL, and reporting tools. She is looking for a new role where she can further develop her data analysis, business intelligence, and problem solving skills.
Information Driven Enterprise Architecture - Connected Brains 2018LoQutus
In this session we will show you how to deliver business
improvements with enterprise and information architecture. During this session you will get new insights to increase value to the organisation. We also explain our LEAF framework, an integrated EA framework leveraging information to build architectures more quickly.
What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
Anindita is working as a Consultant with Deloitte Consulting LLP with close to 8 years of Human Capital Consulting experience in the People and Change team. She has hands-on experience of Change Management strategies, Instructional Design, Technology Adoption Training and Learning Solutions. She has deep expertise in leading Change Management and Communications work for large organizations, owning Communication plans, messages and delivery channels, conducting Training Assessments, designing Training Strategy and Curriculum, managing end-user training development and delivery. She has hands-on experience of conducting stakeholder assessment, leadership alignment workshops, change impact analysis, change agent network meetings and implementing change strategies in large organizations.
Anindita has been leading complex teams for Oracle, Workday and Salesforce Technology Adoption projects from onshore. Her diverse experience in Organization Change Management (OCM), Communication along with Learning and Talent Development work threads helps her act as an advisor on critical human capital issues to the client executives. She has been heavily involved in Sales and Pre-Sales activities along with Proposal and SOW building process at Deloitte.
She believes in delivering cutting-edge, innovative and elegant solutions to her clients. She has experience working with clients across the globe, across levels, and across a wide variety of consulting projects and bring strengths of analyzing requirements, designing learning solutions, developing said solutions, implementing, and evaluating the solutions. . Her strong communication skills and hands-on experience of designing and developing human capital interventions allow her to become an asset to any client project.
Tableau, Microsoft SQL Server (SSMS-Query), VBA-Macro (Automation), Advance Excel, MS Access, Power BI, Python (Panda, Matplotlib, Pyodbc…), Splunk SPL Query (Stats, Table, Eval).
• A competent professional with 8+ years’ experience in Reports Automation, Data Analysis, MIS, Modern Retail Operations, Inventory Management, Process Improvement.
• 3+ years of experience of Tableau in Data Visualization, Analytics, Data Management, Data Integration, Implementation and Maintenance of Business Intelligence, and the related Database Platforms.
• Experience in Operational Intelligence using Tableau.
• Experience in creating different visualizations using Bar, Line and Pie chart, Background Maps, Box plots, Scatter plots, Gantt charts, Bubble charts, Histograms, Trend lines & statistics, Bullets, Heat maps and Highlight tables.
• Expertise in Actuate Reporting, development, deployment, management and performance tuning of Actuate reports.
• Excellent knowledge and experience of VBA Macro, Tableau, SQL Server Query Language..
• Hands-on experience in VBA-Macro and Data Analysis, deft at understanding requirements, Design Tools, Automation, Formats, following up with operations team and validating data.
• Functional abilities in preparing & maintaining daily production reports, MIS Reports, Dashboards and Monthly Business Reports for analysis.
• Interacting with client and understanding the client requirement and creating Dashboards, Analysis in Tableau and require Tools/Format.
• Competent in project management, SQL and other database applications.
Information Driven Enterprise Architecture - Connected Brains 2018LoQutus
In this session we will show you how to deliver business
improvements with enterprise and information architecture. During this session you will get new insights to increase value to the organisation. We also explain our LEAF framework, an integrated EA framework leveraging information to build architectures more quickly.
What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
Anindita is working as a Consultant with Deloitte Consulting LLP with close to 8 years of Human Capital Consulting experience in the People and Change team. She has hands-on experience of Change Management strategies, Instructional Design, Technology Adoption Training and Learning Solutions. She has deep expertise in leading Change Management and Communications work for large organizations, owning Communication plans, messages and delivery channels, conducting Training Assessments, designing Training Strategy and Curriculum, managing end-user training development and delivery. She has hands-on experience of conducting stakeholder assessment, leadership alignment workshops, change impact analysis, change agent network meetings and implementing change strategies in large organizations.
Anindita has been leading complex teams for Oracle, Workday and Salesforce Technology Adoption projects from onshore. Her diverse experience in Organization Change Management (OCM), Communication along with Learning and Talent Development work threads helps her act as an advisor on critical human capital issues to the client executives. She has been heavily involved in Sales and Pre-Sales activities along with Proposal and SOW building process at Deloitte.
She believes in delivering cutting-edge, innovative and elegant solutions to her clients. She has experience working with clients across the globe, across levels, and across a wide variety of consulting projects and bring strengths of analyzing requirements, designing learning solutions, developing said solutions, implementing, and evaluating the solutions. . Her strong communication skills and hands-on experience of designing and developing human capital interventions allow her to become an asset to any client project.
Tableau, Microsoft SQL Server (SSMS-Query), VBA-Macro (Automation), Advance Excel, MS Access, Power BI, Python (Panda, Matplotlib, Pyodbc…), Splunk SPL Query (Stats, Table, Eval).
• A competent professional with 8+ years’ experience in Reports Automation, Data Analysis, MIS, Modern Retail Operations, Inventory Management, Process Improvement.
• 3+ years of experience of Tableau in Data Visualization, Analytics, Data Management, Data Integration, Implementation and Maintenance of Business Intelligence, and the related Database Platforms.
• Experience in Operational Intelligence using Tableau.
• Experience in creating different visualizations using Bar, Line and Pie chart, Background Maps, Box plots, Scatter plots, Gantt charts, Bubble charts, Histograms, Trend lines & statistics, Bullets, Heat maps and Highlight tables.
• Expertise in Actuate Reporting, development, deployment, management and performance tuning of Actuate reports.
• Excellent knowledge and experience of VBA Macro, Tableau, SQL Server Query Language..
• Hands-on experience in VBA-Macro and Data Analysis, deft at understanding requirements, Design Tools, Automation, Formats, following up with operations team and validating data.
• Functional abilities in preparing & maintaining daily production reports, MIS Reports, Dashboards and Monthly Business Reports for analysis.
• Interacting with client and understanding the client requirement and creating Dashboards, Analysis in Tableau and require Tools/Format.
• Competent in project management, SQL and other database applications.
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
Science to Data Science: PhDs and postdocs moving to startups and industry (2...AI Guild
How to get interviews and the employment contract. A roadmap workshop on transitioning to the industry in a #datacareer, e.g. Data Scientist, Data Analyst, ML engineer, NLP practitioner, etc.
Benefit from the insights of Europe's leading 1000+ practitioner community, including Ph.D. role models from STEM disciplines and the social sciences that now enjoy a #datacareer.
Data Science Career Paths at N2 ConferenceAI Guild
N2 Conference 2019 - Workshop on Data Science Careers out of Academia. N2 Network of Doctoral Researchers - Max Planck PhD Net, Leibniz PhD Network, Helmholtz Juniors.
Big Data is big buzz at the present.
There's so much press, but so little clarity about what "big data" actually is (and what it can do for HR).
This presentation is an introduction to big data and data analytics. With no techno-babble, find out:
> What is big data?
> What do I really need to know?
> What can it do?
> How does it apply to Human Resources / HR?
> What are some examples of big data being used in the HR "space"?
> How will big data change HR in general?
Highly relevant for anyone involved in people management, human resources, organisational design and change management.
Advances in technology for capturing information have led to the promise of “Big Data” to dramatically alter the business environment. However, technology is only an enabler of aggregation and analysis. Many firms struggle to convert information to business knowledge and insights. Learn how organizations are using data to improve skill development at all levels and developing models for organizational structures to link these skills to executive decision-making.
Speakers: Dan McGurrin, Ph.D., NC State and Pamela Webber, Cisco
Smart Data Webinar: A Roadmap for Deploying Modern AI in BusinessDATAVERSITY
Adopting elements of modern AI and cognitive computing - including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning - is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. For product strategists and developers, the issue is not whether to consider modern AI, the issue is how to do so most effectively.
Webinar participants will learn:
•How to classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
•How to prioritize applications in an existing portfolio for AI-enhancements, and
•How to assess organizational readiness for leveraging AI
Modernizing the Enterprise Monolith: EQengineered Consulting Green PaperMark Hewitt
Are you an enterprise that recognizes the business liability inherent in the monolithic or otherwise dated enterprise software applications you have built? Does your technology represent an impediment to the needed agility and flexibility required to meet the needs of today’s business environment?
Historically, enterprise software development focused on an approach that incorporated all functionality into a single process, and replicated it across servers as additional capacity was required. Today, these large applications have become bloated and unmanageable as new features and functionality are added. And, as small changes are made to existing functionality, the requirements to update and redeploy the server-side application becomes an intractable juggernaut.
Forward-thinking organizations like Amazon and Netflix led the way toward agile processes, deconstructed software stacks, and efficient APIs. Both large and small organizations serious about embracing modern practices have followed by decoupling the front and back end of their enterprise applications, employing microservices and cloud technologies, and adopting agile methodologies. These very steps can serve to highlight additional technical deficits in old solutions and codebases, which in turn become stumbling blocks to modern development practices.
As these technology trends continue to evolve, how can your company keep pace and remain viable?
In this green paper, we discuss how CIOs, CTOs, and VPs of Engineering can lead the needed modernization with their counterparts in marketing and the business to ensure that their organizations remain competitive in today’s customer-driven and technology-led economy.
Key questions addressed include:
• Why is technical modernization vital for the business?
• What types of modernization projects are there?
• How does modernization fit into your organization?
How to Scale Information Dissemination to the Virtual Digital WorkspaceXeniT Solutions nv
Covid-19 has impacted operations for 78% of businesses, with 62% experiencing a fall in employee productivity. A key challenge for businesses is how to distribute information to their virtual digital workforces and customers seeking information online.
In this webinar “How to Scale Information Dissemination for the Virtual Digital Workspace” we’ll explore:
— How enterprise search empowers employees and customers, by achieving an unified single source of information;
— Use cases where chatbots and smart question-answering systems can be deployed with the greatest effect.
Full recording here: https://xenit.eu/webinars/virtual-digital-workspace/
Every year around this time a group of us at Tableau try to slow down and take a look around. We take some time to talk about what’s happening in the market—what’s new, what’s surprising, what’s meaningful. And what a time to be in the world of data and analytics! Smart new platforms are launched seemingly every month. Organizations are starting to see the benefits of broadly empowering people with data. People are using data in ways that were science fiction just a couple of years ago.
It’s always a great discussion. It’s this discussion that drives our Top 10 Trends in Business Intelligence for 2015.
Methods of Organizational Change ManagementDATAVERSITY
The disparity between expecting change and managing it — the “change gap” — is growing at an unprecedented pace. This has put many information management shops into traction as they initiate large, complex projects needed to stay competitive.
Information management professionals and business leaders must concern themselves with the organization’s acceptance of these efforts. To be successful in achieving the larger enterprise goals, these initiatives must transform the organization. However, it takes more than wishful thinking to bridge the gap.
The complexities of engaging behavioral and enterprise transformation are too often underestimated at great peril because the “soft stuff” is truly hard.
This back issue of EAPJ contains valuable case studies for enterprise, solution and business architects. The articles apply enterprise architecture best practices to a wide variety of commercial, government and non-profit situations.
Strateginen suunnitteluprosessi - esitys vapaaehtoistoiminnan koordinaattorei...Salla Kuuluvainen
Tässä esityksessä kerron yksinkertaisen tavan luoda strategia visiosta toimenpiteiden aikatauluttamiseen. Tätä prosessia voi käyttää niin isojen organisaatioiden strategiasuunnittelussa kuin esimerkiksi tapahtuman järjestämiseen.
The Washington Redskins are looking to drive more fan engagement on gameday, leveraging photo and video content, stats and gameday data. Full use of Redskins creative assets are available, including all digital/online assets.
http://connect.switchpitch.com/site/welcome/
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
Science to Data Science: PhDs and postdocs moving to startups and industry (2...AI Guild
How to get interviews and the employment contract. A roadmap workshop on transitioning to the industry in a #datacareer, e.g. Data Scientist, Data Analyst, ML engineer, NLP practitioner, etc.
Benefit from the insights of Europe's leading 1000+ practitioner community, including Ph.D. role models from STEM disciplines and the social sciences that now enjoy a #datacareer.
Data Science Career Paths at N2 ConferenceAI Guild
N2 Conference 2019 - Workshop on Data Science Careers out of Academia. N2 Network of Doctoral Researchers - Max Planck PhD Net, Leibniz PhD Network, Helmholtz Juniors.
Big Data is big buzz at the present.
There's so much press, but so little clarity about what "big data" actually is (and what it can do for HR).
This presentation is an introduction to big data and data analytics. With no techno-babble, find out:
> What is big data?
> What do I really need to know?
> What can it do?
> How does it apply to Human Resources / HR?
> What are some examples of big data being used in the HR "space"?
> How will big data change HR in general?
Highly relevant for anyone involved in people management, human resources, organisational design and change management.
Advances in technology for capturing information have led to the promise of “Big Data” to dramatically alter the business environment. However, technology is only an enabler of aggregation and analysis. Many firms struggle to convert information to business knowledge and insights. Learn how organizations are using data to improve skill development at all levels and developing models for organizational structures to link these skills to executive decision-making.
Speakers: Dan McGurrin, Ph.D., NC State and Pamela Webber, Cisco
Smart Data Webinar: A Roadmap for Deploying Modern AI in BusinessDATAVERSITY
Adopting elements of modern AI and cognitive computing - including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning - is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. For product strategists and developers, the issue is not whether to consider modern AI, the issue is how to do so most effectively.
Webinar participants will learn:
•How to classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
•How to prioritize applications in an existing portfolio for AI-enhancements, and
•How to assess organizational readiness for leveraging AI
Modernizing the Enterprise Monolith: EQengineered Consulting Green PaperMark Hewitt
Are you an enterprise that recognizes the business liability inherent in the monolithic or otherwise dated enterprise software applications you have built? Does your technology represent an impediment to the needed agility and flexibility required to meet the needs of today’s business environment?
Historically, enterprise software development focused on an approach that incorporated all functionality into a single process, and replicated it across servers as additional capacity was required. Today, these large applications have become bloated and unmanageable as new features and functionality are added. And, as small changes are made to existing functionality, the requirements to update and redeploy the server-side application becomes an intractable juggernaut.
Forward-thinking organizations like Amazon and Netflix led the way toward agile processes, deconstructed software stacks, and efficient APIs. Both large and small organizations serious about embracing modern practices have followed by decoupling the front and back end of their enterprise applications, employing microservices and cloud technologies, and adopting agile methodologies. These very steps can serve to highlight additional technical deficits in old solutions and codebases, which in turn become stumbling blocks to modern development practices.
As these technology trends continue to evolve, how can your company keep pace and remain viable?
In this green paper, we discuss how CIOs, CTOs, and VPs of Engineering can lead the needed modernization with their counterparts in marketing and the business to ensure that their organizations remain competitive in today’s customer-driven and technology-led economy.
Key questions addressed include:
• Why is technical modernization vital for the business?
• What types of modernization projects are there?
• How does modernization fit into your organization?
How to Scale Information Dissemination to the Virtual Digital WorkspaceXeniT Solutions nv
Covid-19 has impacted operations for 78% of businesses, with 62% experiencing a fall in employee productivity. A key challenge for businesses is how to distribute information to their virtual digital workforces and customers seeking information online.
In this webinar “How to Scale Information Dissemination for the Virtual Digital Workspace” we’ll explore:
— How enterprise search empowers employees and customers, by achieving an unified single source of information;
— Use cases where chatbots and smart question-answering systems can be deployed with the greatest effect.
Full recording here: https://xenit.eu/webinars/virtual-digital-workspace/
Every year around this time a group of us at Tableau try to slow down and take a look around. We take some time to talk about what’s happening in the market—what’s new, what’s surprising, what’s meaningful. And what a time to be in the world of data and analytics! Smart new platforms are launched seemingly every month. Organizations are starting to see the benefits of broadly empowering people with data. People are using data in ways that were science fiction just a couple of years ago.
It’s always a great discussion. It’s this discussion that drives our Top 10 Trends in Business Intelligence for 2015.
Methods of Organizational Change ManagementDATAVERSITY
The disparity between expecting change and managing it — the “change gap” — is growing at an unprecedented pace. This has put many information management shops into traction as they initiate large, complex projects needed to stay competitive.
Information management professionals and business leaders must concern themselves with the organization’s acceptance of these efforts. To be successful in achieving the larger enterprise goals, these initiatives must transform the organization. However, it takes more than wishful thinking to bridge the gap.
The complexities of engaging behavioral and enterprise transformation are too often underestimated at great peril because the “soft stuff” is truly hard.
This back issue of EAPJ contains valuable case studies for enterprise, solution and business architects. The articles apply enterprise architecture best practices to a wide variety of commercial, government and non-profit situations.
Strateginen suunnitteluprosessi - esitys vapaaehtoistoiminnan koordinaattorei...Salla Kuuluvainen
Tässä esityksessä kerron yksinkertaisen tavan luoda strategia visiosta toimenpiteiden aikatauluttamiseen. Tätä prosessia voi käyttää niin isojen organisaatioiden strategiasuunnittelussa kuin esimerkiksi tapahtuman järjestämiseen.
The Washington Redskins are looking to drive more fan engagement on gameday, leveraging photo and video content, stats and gameday data. Full use of Redskins creative assets are available, including all digital/online assets.
http://connect.switchpitch.com/site/welcome/
This ppt is very simple and has immence importance in dispensing pharmacy. it has been prepared based on the syllabus of WBUT & consists of informations of elimentary label...WHAT IS A “PRESCRIPTION” ?
A Prescription is a written order from a Registered Medical Practitioner, or any other Licensed Practitioner, such as Dentists, Veterinarian etc.
ABBREVIATIONS:-
It represents a problem in understanding the parts of a prescribing order & therefore leads to confusion…
NAME OF THE DRUG
There are certain drugs whose name look or sound like those of other drugs…
INSTRUCTIONS FOR THE PATIENTS
It essential to mention the instructions like quantity of the drug to be taken, the frequency & timing of administration in order to avoid confusion…
INCOMPATIBILITIES
It is essential to check that there are no Pharmaceutical or Therapeutic incompatibility in a prescription…
Best Data Science Hybrid Course in Pune
Data Science, in its simpler terms, is about generating critical business value from the data through various creative ways. It can also be defined as a mix of data research, algorithms, and technology to solve complex analytical issues. Data is being generated by Companies at an exponential pace. The usable Data form can be different for different sections of people working in an organization.
Data Science Classes help us to explore the data to a granular form and find the needed insights. Data Science is about being analytical or inquisitive wherein asking new questions, doing further explorations, and continuing learning is a part of the job for Data Scientists.
According to Harward Business Review, Data Scientist is the Sexiest Job of the 21st Century.
According to Forbes, IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
GET FRONTLINE DATA SCIENCE TRAINING IN PUNE AT 3RI TECHNOLOGIES
Data Science is a trending niche, for it promises notable mileage for the business economy! It is rather ironic that data which was considered a burden to manage and store only about a few decades ago is now viewed as a resource; courtesy of course to data scientists. They have brought about a paradigmatic change through their skills which allow them to derive the value from raw data. It is important to mention that ‘Raw Data’ is clueless to most laymen, including the high echelons in business management; but when processed through Data Science Tools, it renders value that is precious and immense for the decision-makers and salesmen. They are all riding on the Professionalism of the Data Scientists and this generates the demand of the latter! 3RI Technologies is the leading institution offering Data Science Classes in Pune and fresh graduates as well as Working Professionals can enroll for it.
WHAT IS DATA SCIENCE?
Today, Data Science is a much-talked subject and its significance is being deliberated among the business managers who are eager to hire a brilliant professional onboard their firm. Data Science is a milieu space that is shared by the distinct yet related domains of statistics & applicative mathematics, computer programming frameworks and tools, data metrics, and analytics. Machine Learning & associated automation underpins all the above-listed fields, almost as a generic derivative; because it is through this channel that the good results are accrued in favor of the business clients. What are these good results? Let’s talk about them!
Trending smart services that are propelling businesses around the world such as SEO, SMO, SMM, SEM and CRM, all revolve around the ability to generate leads of authentic value for the commerce banners. The web developers have been doing well through their professional conduct for their clients but they in turn actively seek the ‘Meaningful Data’ about the existing and potential customers, the market trends, and the competition figures of the biz rivals. Here, Data Sc
Senior IT executive with over 18 years of experience in Healthcare, Pharmacy, Financial Services and Insurance sectors. Skilled strategist who blends deep technical expertise with an enterprising business sense to create competitive advantage.
An IT Support Specialist is a professional who assists individuals and organizations in resolving technical issues related to computer software, hardware, networks, and systems. Their primary role involves providing technical support and troubleshooting assistance to end-users, with the ultimate goal of maintaining the smooth operation of technology infrastructure.
Here are some key responsibilities and skills commonly associated with an IT Support Specialist:
Responsibilities:
1. Responding to user inquiries and providing prompt technical support via various channels (phone, email, chat, or in-person)
2. Diagnosing and resolving hardware and software issues on desktops, laptops, printers, and other devices
3. Installing, configuring, and updating software applications and operating systems
4. Assisting in network setup, troubleshooting network connectivity, and resolving internet-related problems
5. Troubleshooting and resolving issues with email, file sharing, and other communication platforms
6. Conducting system backups and ensuring data integrity and security
7. Collaborating with other IT team members to escalate complex issues and collaborate on resolving them
8. Documenting solutions and maintaining knowledge bases and technical documentation for future reference
9. Educating users on basic computer operations, best practices, and security measures
Skills:
1. Strong technical knowledge of operating systems (Windows, macOS, Linux) and software applications
2. Proficiency with networking concepts, protocols, and troubleshooting tools
3. Knowledge of hardware components and the ability to diagnose and repair hardware issues
4. Experience in managing Active Directory, user accounts, and group policies
5. Familiarity with ticketing systems and remote support tools
6. Excellent problem-solving and analytical thinking skills
7. Effective communication and customer service skills to assist users of varying technical backgrounds
8. Ability to work independently and collaboratively in a team-oriented environment
9. Adaptability and willingness to learn new technologies and keep up with industry trends
Overall, an IT Support Specialist is responsible for ensuring that technology systems and equipment function seamlessly, providing reliable support to users, and contributing to the overall productivity and efficiency of an organization's IT infrastructure.
1. CURRICULUM VITAE OF PATRICIA KELLEY-DOWD
LOCATION:Coventry
MOBILE: 07933206079
EMAIL:tdowd93@gmail.com
SUMMARY
An experienced Support/MI/Data Analyst with excellent knowledge of Excel and other Microsoft applications, technical authoring
capabilityand reporting aptitude. Numerate, with good verbal and written communications skills and the abilityto learn new
software applications and technical environments quicklyand thoroughly. In mymost recent role, had sole responsibility for
developingdatabasestructuresandmanagementreportsfor senior managers,supervisors,finance, fee earners and funders. This
enabled the business to retain a maximum of legal aid funding following severe legal aid cuts and source more than a million
poundsof additionalfundingtoreplacefundinglostthroughlegalaid and local authoritycutbacks. I am looking for a role to extend
mydata analysis and problem solving skills and would like the opportunityto develop into a Business Intelligence role. I would
enjoythe opportunityto work with new datasets, more progressive analysis tools, more challenging mathematical algorithms and
the opportunityto be more involved in the interpretation and application of the information produced. As a data driven, though
empathic and goal driven person, I look for insights and solutions rather than problems and enjoysupporting clients, colleagues
and being a team member.
EMPLOYMENT
ICT MANAGER, COVENTRY LAW CENTRE, 1 OCT 2005 – 15 OCT 2016
Reportingto the Headof LegalPracticeandOperations,keyresponsibilitiesinclude:
Data Analysis, and Administrationof CaseManagementSystem
Documentingandupdatinginternaldatamodels,creatingtrainingmaterials,guidesandinstructionsforstaff
Tenyears of experienceproducingmonthly,quarterly, annualandad hoc reportsfor funders,stakeholders,senior
management,financedepartment,team supervisorsandfee earners(Access, Crystal andAdvanced Excel) whichIthen
automatedintoa scheduledreportingsystem after movingto an SSRS environment
Createda variety of ad hoc andscheduledreports to enablemanagers,finance,team leadersandfeeearnersto manage
KPIS beforeautomatingthereports in the form of dashboardsusingSSRS
Analysing datato determine trendsto supportbids for externalfundingapplications,researchingtrendsandBI techniques
Managingdocumentandform integration
Workingwith Case Managementsuppliertomapandmodeldatainto newsystems andspecifyenhancementrequests
Maintaining andupdateofwebsites
Analysing of costsand procurementofICT equipmentandservices
Generalsystem administrationofservers andPCs (outsourced asorganisationtrebledinsize)
SupervisingAdmin andReceptionteamsbeforetransferringresponsibilityto a newAdministrationSupervisor role
PerformingLegalAid billingbeforetransferringresponsibilityto a newCompanyAccountant
PREVIOUS EMPLOYMENT
IT SeniorOfficer/Trainer(ECDL/Learndirect/Public Access),CoventryLibrary Service,Apr 1999 – Sept 2005
IT Tutor(CLAIT PLUS/Advanced ECDL),Coventry Adult EducationService,Sept2002 – Aug 2005
MaternalCareerBreak,Sept 1996 – Mar1999
CustomerSupport,Information andTrainingManager (Worldleadingcellularplanningsoftware),MobileSystems
International,Aug 1993 – Sept 1996
Database andNew TechnologiesConsultant,BIS InformationSystems, August 1990 – August 1993
SeniorTrainer(SoftwareEngineering),WolverhamptonandCoventryITECs,Aug 1989 – Sept 1990
Lecturer(CommunicationsandSoftwareEngineering),CoventryTechnicalCollege,Aug1987 – Aug 1989
Trainer(Electronics,IT andProgramming),CoventryITEC,Aug 1985 – Aug 1987
2. ElectronicsEngineer(TestDevelopment),GECTelecommunicationsLtd,Aug 1984 – Aug 1985
ElectronicsandCommunicationsEngineeringApprentice,GECTelecommunicationsLtd,Aug 1980 – Aug 1984
RELEVANT SKILLS AND EXPERIENCE
DATABASE DESIGN AND MANAGEMENT REPORTING
Having coordinatedtwochangesofcasemanagementsystem in mycurrentrole, I have workedextensively with
managers,staff and suppliersto ensurethat data is mappedandmigratedeffectively(ETL)andthat datamodelsare
accuratelyversioned.Ensuredthat datarequirementsanduserproceduresaredocumentedeffectivelyandthat training
materialsanduserguidesare clear,pragmatic andeasyto update.
Supportmanagersandteam supervisors inspecifyingreportingrequirements.
MaintainedaninhouseAccesscasemanagementbeforemovingtoa third party supplier.
Write ScheduledReportsfrom ourcasemanagementsystem in MicrosoftReportBuilder3.0SSRS, linkingreportsto
supervisor andmanagerhomescreens.SomeuseofSQL to extract datafor reports from SQLServer Management
Studio.
UsedOracle andDB2 in a researchprojecttoapplyknowledgebasedsystems techniquesinthedesign,refinement,
monitoring,tuning,impactanalysisandperformancepredictionofrelationaldatabases.
Experiencedinusingstructuredsystem analysis and designmethodologiessuchasSSADM 4 andRAD and have a deep
understandingofthe corevalues of data designandam ableto conform toany requiredstandardof representation.
EXCEL AND MODELLING
ExcellentknowledgeofMicrosoftExcel including ChartsandPowerAdd-Ins. Experiencedinusing nestedIf statements,
Index and Lookuptables, Pivot tables, Sumproductandotherdata analysis functionalityto analyse andreport information
for Management,Supervisors, FundersandFundingapplications.Someexperienceindevelopingadditional functionality
in VBA whenthis is moreexpedientthanapplying builtin functionalityfor complexdatacreation andanalysisorfor data
cleansing.
ExperiencedinusingMicrosoftExceltocreateprototype modelsinsoftwaredevelopmentprojectssuchasa risk analysis
andmanagementtoolfor IT security, telephonetraffic analysis for a majorbank,investigatingthe use of neuralnetworks
andweightedinheritanceinmonitoringperformanceproblemsinrelationaldatabasesandapplyingknowledgebased
techniquesto improvereturn ratio onmailshotcampaignperformance. Ihave written VBA scriptsto cleansedata and
makeworkbooksmoreuserfriendly and algorithmstomapdatato funderreportingrequirements.
Enjoymathematicalmodelling.Goodknowledgeofformulatranslationthroughworkingintelecommunicationsand
statisticalanalysis via studying experimental psychology,andcangeneratestatisticalanalysisand regressionwithin
Excel.
Canapply statisticalknowledgetoreportthe significanceofchangesindatapatternsand createmeaningful graphsto
showtrends and projections,forexampleensuringthatteamsmeetthe KPIs to retain the Legal Aid Agency QualityMark
anddisplayingtrends andprojectionsfrom clientprofileinformationtosupportfundingbids.
Spent several years billingandreportingalllegalhelpworkbefore passingover to an accountancyfunction.
TRAINING, SUPPORT, WEB AND PROJECT MANAGEMENT
As an experiencedtrainer,I supportandtrain colleaguesintheiruseof casemanagementandofficeapplications.
Advanced knowledgeofMicrosoftWord, PowerPointandPublishergainedthroughtheproductionofsoftware manuals
andtrainingmaterials.As an experiencedtechnical authorandtrainer,I have written fully crossreferenced,indexedand
stylised software manualandtechnicalreferencemanualsforworldleadingcellularplanningsoftware,trainingcourse
materialsfor cellularplanningandriskanalysissoftware andtrainingcoursesfor CLAIT Plus, BTEC,Cityand Guildsand
ECDLIT courses.
When workinginsoftware development,wastrained andgainedexperienceofavariety of ProjectManagementsystems.
I understandtheadvantages of workingwithina structuredenvironmentthat encouragesacontinualflowofinformation
andcommunicationwithinaproject,withdefinedmilestones,SMART ObjectivesandKey PerformanceIndicators.
Responsibleforupdating LawCentrewebsites. FamiliarwithHTML,CSSand GoogleAnalytics. SomeknowledgeofPHP
andMYSQL for examplecreatingadatabaseandcodeforan onlinepetitiononour mainwebsiteandto correcterrorsin
WordPress sites (the latter developedexternally).
3. As I am familiarwithHTMLandXMLIwouldfeel confidentworkingwithinaSharePointenvironment.
When managingacustomerservicedepartment,developedsupportingsystems(databasesandspreadsheets)to track
supportissues to ensurethat we metServiceLevel Agreements for our customers,workingcloselywithsoftware
developers, consultantsandproductmanagerstodeveloptimelyfixes and work-arounds.
SUMMARY OF QUALIFICATIONS
HNCand ONCin ElectronicsandCommunicationsEngineering
C&G Youth TrainerandDirectTrainerCertificates
Various OU level 2 andlevel 3 degree modules(Psychology– particularinterestinExperimentalStatistics,AI and
Problem Solving)
OUCertificate – Introductionto Managementinthe ThirdSector
Level 1 and 2 CertificatesinCounselling
8 GCEO Levels includingMathsandEnglish
TRAINING/SKILLS
Advanced/Expert knowledgeofMicrosoftApplications (Office2013andearlier)including Excel withVBA, PowerPointwith
VBA, Accesswith SQL,Word, Publisher(thoughI prefer FrameMaker),SSRSReportBuilder3.0 with knowledgeofSQL
thoughmost recentlyfor MI/Reportingservices.
Basic System administrationofWindowsserver 2012and2008 includingActiveDirectoryandsomeknowledgeofIIS.
GoodwebdevelopmentandhostingskillsHTML andCSS,Adobe CS4and a littlePHP andMySQL
Professionallytrainedin a variety of DatabaseAnalysis/Design/DevelopmentMethodsincludingRDBMS,SSADM 4,
OOS,KBS andRAD. TheoreticalknowledgeofAGILE.
Professionallytrainedin ProjectManagementincludingPRINCE(Introduction)and Prompt(BIS) and PROPS (Ericsson).
FamiliarwithMicrosoftProjectandProjectEstimatingtechniques.HaveusedVisio anda variety of bespoke
design/chartingsoftware.
GoodknowledgeofWindowsand homeusage of UbuntuLinux.Previous experienceofSun Solaris,HP Unix andearly
MacOSandAUX.
Previous programmingexperience (historic)in COBOL,FORTRAN,C, C++, Pascal,Visual Basic,Developmental SQL,
PROLOG,LISP anda variety of KBS/AI shells (Level 5 Object,NexpertObject).
REFERENCES
Available on request/interview.