Vandana Saini has over 10 years of experience in data analysis and scientific roles. She currently works as a Big Data Analyst and Senior Research Scientist at Geotab, where she manages projects involving petabytes of data using tools like Java, Tableau, and Google BigQuery. Previously she held roles at BMO Financial Group, Clearwire, and academic institutions in Canada and India, developing her skills in areas like data modeling, analytics, and business analysis. She has a Master's degree in Applied Computing from the University of Toronto and is actively involved in research projects related to data security, optimization of graph analytics, and mobile data exposure.
Requirements engineering (RE), as a part of the project development life cycle, has increasingly been recognized as the key to ensure on-time, on-budget, and goal-based delivery of software projects. RE of big data projects is even more crucial because of the rapid growth of big data applications over the past few years. Data processing, being a part of big data RE, is an essential job in driving big data RE process successfully. Business can be overwhelmed by data and underwhelmed by the information so, data processing is very critical in big data projects. Employing traditional data processing techniques lacks the invention of useful information because of the main characteristics of big data, including high volume, velocity, and variety. Data processing can be benefited by process mining, and in turn, helps to increase the productivity of the big data projects. In this paper, the capability of process mining in big data RE to discover valuable insights and business values from event logs and processes of the systems has been highlighted. Also, the proposed big data requirements engineering framework, named REBD, helps software requirements engineers to eradicate many challenges of big data RE.
Requirements engineering (RE), as a part of the project development life cycle, has increasingly been recognized as the key to ensure on-time, on-budget, and goal-based delivery of software projects. RE of big data projects is even more crucial because of the rapid growth of big data applications over the past few years. Data processing, being a part of big data RE, is an essential job in driving big data RE process successfully. Business can be overwhelmed by data and underwhelmed by the information so, data processing is very critical in big data projects. Employing traditional data processing techniques lacks the invention of useful information because of the main characteristics of big data, including high volume, velocity, and variety. Data processing can be benefited by process mining, and in turn, helps to increase the productivity of the big data projects. In this paper, the capability of process mining in big data RE to discover valuable insights and business values from event logs and processes of the systems has been highlighted. Also, the proposed big data requirements engineering framework, named REBD, helps software requirements engineers to eradicate many challenges of big data RE.
IMPORTANCE OF PROCESS MINING FOR BIG DATA REQUIREMENTS ENGINEERINGijcsit
Requirements engineering (RE), as a part of the project development life cycle, has increasingly been recognized as the key to ensure on-time, on-budget, and goal-based delivery of software projects. RE of big data projects is even more crucial because of the rapid growth of big data applications over the past few years. Data processing, being a part of big data RE, is an essential job in driving big data RE process successfully. Business can be overwhelmed by data and underwhelmed by the information so, data processing is very critical in big data projects. Employing traditional data processing techniques lacks the invention of useful information because of the main characteristics of big data, including high volume, velocity, and variety. Data processing can be benefited by process mining, and in turn, helps to increase the productivity of the big data projects. In this paper, the capability of process mining in big data RE to discover valuable insights and business values from event logs and processes of the systems has been highlighted. Also, the proposed big data requirements engineering framework, named REBD, helps software requirements engineers to eradicate many challenges of big data RE.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
Resume-Vivek Mohan (BI & Analytics Enterprise Architect) - Looking for an opp...Vivek Mohan
Resume-Vivek Mohan (BI & Analytics Enterprise Architect) - Looking for an opportunity.
Digital transformation Leader with an insightful career of 16.5 years. Over the years, I have built up expertise in Business Analysis, Enterprise Architecture, Enterprise Business Intelligence, Data Visualization, Data Warehouse Management, Big Data Analytics, Advanced Analytics, Machine Learning, Artificial Intelligence, IoT Analytics, Big Data Processing, Data Cataloguing and Journey Analytics. During my corporate career, I have been associated with reputed industry leaders like British Telecom, Accenture, ZS Associates, Infosys, Goldman Sachs, Tesco and Wipro Technology.
Possess verifiable track record of heading multi-million dollar complex software/application development projects and Strategy & Architecture Groups of organizations, setting up CoEs (Center of Excellence), designing BI solutions, project/program management (SDLC), vendor management, capability building, coaching and mentoring team members and stakeholder management. I specialize in driving innovation, capitalizing on an analytical and 'big picture' perspective to exceed objectives and deliver results. I am known for developing sustainable growth and expansion plans, forming strategic partnerships and maintaining strong relationships.
With strong clarity of purpose and objective analytical approach, I have gained exceptionally consistent and committed track-record of excelling in all assignments undertaken. I am driven by strong personal values of honesty, integrity & sincerity and I can perform in demanding work environments utilizing strong work ethics.
Active speaker at various events. Currently heading the COE - BI & Analytics, Enterprise Architecture & Data Exploitation - Data & Analytics in BT.
Technical proficiency –
SAP BO, MicroStrategy, OBIEE, ODV, Qlikview, Xcelsius, SAS, SPSS, RoamBI, BIG DATA, Hadoop, Tableau, Spotfire, Pentaho, SAP Lumira, Informatica, Alteryx, ZoomData, IBM Watson , Thoughtspot, AtScale, Trifacta, Alation, Dataiku, Rapidminer, H20, Datameer, Clickfox, Adobe Analytics, Zaloni, Alpine data labs, Kvyos Insights & Stratifyd.
The small city of Basel is very well known within the pharmaceutical and the fine chemistry industries – far beyond
Switzerland’s and Europe’s boarders. Those industry branches have a 200 years history in the town at the southern Rhine, and the weyer group has participated in it for over 20 years.
Internationally speaking, the weyer group has been active for over 30 years for industrial clients, among others of the chemical, petrochemical, petroleum, logistics and waste disposal sectors. Furthermore, the group has been providing engineering and consulting services for the pharmaceutical ndustry in the areas of plant safety and environment
protection, as well as design and construction of tank farms for solvents and other dangerous liquids. Already since the end of the eighties, the weyer group has successfully executed projects for clients in...
IMPORTANCE OF PROCESS MINING FOR BIG DATA REQUIREMENTS ENGINEERINGijcsit
Requirements engineering (RE), as a part of the project development life cycle, has increasingly been recognized as the key to ensure on-time, on-budget, and goal-based delivery of software projects. RE of big data projects is even more crucial because of the rapid growth of big data applications over the past few years. Data processing, being a part of big data RE, is an essential job in driving big data RE process successfully. Business can be overwhelmed by data and underwhelmed by the information so, data processing is very critical in big data projects. Employing traditional data processing techniques lacks the invention of useful information because of the main characteristics of big data, including high volume, velocity, and variety. Data processing can be benefited by process mining, and in turn, helps to increase the productivity of the big data projects. In this paper, the capability of process mining in big data RE to discover valuable insights and business values from event logs and processes of the systems has been highlighted. Also, the proposed big data requirements engineering framework, named REBD, helps software requirements engineers to eradicate many challenges of big data RE.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
Resume-Vivek Mohan (BI & Analytics Enterprise Architect) - Looking for an opp...Vivek Mohan
Resume-Vivek Mohan (BI & Analytics Enterprise Architect) - Looking for an opportunity.
Digital transformation Leader with an insightful career of 16.5 years. Over the years, I have built up expertise in Business Analysis, Enterprise Architecture, Enterprise Business Intelligence, Data Visualization, Data Warehouse Management, Big Data Analytics, Advanced Analytics, Machine Learning, Artificial Intelligence, IoT Analytics, Big Data Processing, Data Cataloguing and Journey Analytics. During my corporate career, I have been associated with reputed industry leaders like British Telecom, Accenture, ZS Associates, Infosys, Goldman Sachs, Tesco and Wipro Technology.
Possess verifiable track record of heading multi-million dollar complex software/application development projects and Strategy & Architecture Groups of organizations, setting up CoEs (Center of Excellence), designing BI solutions, project/program management (SDLC), vendor management, capability building, coaching and mentoring team members and stakeholder management. I specialize in driving innovation, capitalizing on an analytical and 'big picture' perspective to exceed objectives and deliver results. I am known for developing sustainable growth and expansion plans, forming strategic partnerships and maintaining strong relationships.
With strong clarity of purpose and objective analytical approach, I have gained exceptionally consistent and committed track-record of excelling in all assignments undertaken. I am driven by strong personal values of honesty, integrity & sincerity and I can perform in demanding work environments utilizing strong work ethics.
Active speaker at various events. Currently heading the COE - BI & Analytics, Enterprise Architecture & Data Exploitation - Data & Analytics in BT.
Technical proficiency –
SAP BO, MicroStrategy, OBIEE, ODV, Qlikview, Xcelsius, SAS, SPSS, RoamBI, BIG DATA, Hadoop, Tableau, Spotfire, Pentaho, SAP Lumira, Informatica, Alteryx, ZoomData, IBM Watson , Thoughtspot, AtScale, Trifacta, Alation, Dataiku, Rapidminer, H20, Datameer, Clickfox, Adobe Analytics, Zaloni, Alpine data labs, Kvyos Insights & Stratifyd.
The small city of Basel is very well known within the pharmaceutical and the fine chemistry industries – far beyond
Switzerland’s and Europe’s boarders. Those industry branches have a 200 years history in the town at the southern Rhine, and the weyer group has participated in it for over 20 years.
Internationally speaking, the weyer group has been active for over 30 years for industrial clients, among others of the chemical, petrochemical, petroleum, logistics and waste disposal sectors. Furthermore, the group has been providing engineering and consulting services for the pharmaceutical ndustry in the areas of plant safety and environment
protection, as well as design and construction of tank farms for solvents and other dangerous liquids. Already since the end of the eighties, the weyer group has successfully executed projects for clients in...
Tank farms are of great significance in supplying both industry and the national economy in its entirety. On account of the
quality of the stored products, the equipment and safety matters are subject to very high conditions and requirements.
The weyer group is able to produce a long-standing and extended treasure trove of experience with regard to the planning
of new tank farms and also for their redesigning. Our clientele comprises businesses from the petroleum industry and the
oil industry, the pharmaceutical industry and the fine chemicals industry as well as solvent traders and waste disposal companies.
Hence, we are familiar at the best with the wide range of demands on engineering and advisory service.
The professional execution of a system analysis is an indispensable act when it comes to the professional construction of
pipe systems in plant engineering, and in many cases it is even demanded by law. The weyer group is in the position to
look back on many years of experience in the field of stress calculation for pipe systems. By means of a documented engineering
procedure which is strictly conforming to the law, an organizational fault with regard to plant safety and environmental
protection can be excluded at an early stage of the ongoing planning phase. For this purpose, state-of-the-art
software tools like CAESAR II, which is specifically tailored to execute pipe stress calculations, as well as various 3D-design
software tools will be deployed. The advantages of a system analysis are, among other things, lower capital costs and
reduced maintenance expenses, a safe operating of your plant and an optimized design of all joining pipes.
Prevention of water pollution | weyer specialweyer gruppe
There is no life without water. Hence, the prevention of water pollution both for drinking water and for processing water
as well as the preservation of aquatic ecological systems is a central duty of environment protection. Plant-related prevention
of water pollution, i.e. the safe handling of substances harmful to water both in the industrial and in the commercial
sphere is a core competence of the weyer group.
I have over sixteen years of experience with numerous industries and specialty areas Insurance, Banking, Telecommunications, Retail, Life Sciences, Manufacturing, and Score carding in the design, development, implementation, and support of information technology systems across a variety of hardware environments. I'm knowledgeable in all aspects of designing and constructing efficient data warehouses, operational data stores, and data marts, and have performed as a lead database designer/modeler and application specialist with direct responsibility for managing project teams. I'm adept at translating business needs into physical design specifications and providing quality deliverable that exceed client expectations.
1. Vandana Saini
(Vinnie)
7 Mount Ranier Crescent
Brampton, ON
L6R2K8
(905)301-7125
vsaini@cs.toronto.edu
A results-driven, articulate and motivated Big Data Analyst and Scientist, with
strong experience in using novel approaches to discover insights from high-volume,
high-dimensional temporal data.
Sound working knowledge of SDLC and exceptional skills in developing business plans,
requirements specifications, documentation and data analysis
Proficient in data management and relational modeling, providing implementation
support in C++, Java and interactive visualization analytics in Tableau and IPython
Excellent technical knowledge of database concepts and common programming
languages
Working knowledge of Information technology concepts, protocols and frameworks ,
including the ability to analyse and evaluate research data, and develop trends and
recommendations to address opportunities in gaining actionable insights
Using Google’s c loud-based machine learning tools to draw insights from massive data
Exceptional decision-making, leadership, communication, presentation and
documentation skills
PROFESSIONAL EXPERIENCE
Big Data Analyst / Senior Research Scientist
Geotab Inc. - Oakville, ON May 2014 to Present
Working on petabytes of structured and unstructured data sets, supporting real time
streaming implementation in Java and creating automated real time reports, effective
Tableau dashboards and I Python notebooks for live and extracted data analysis
Managing the project on Data Audit and Security Standards Management, automating
the processes for business rules across different departments
Researching on issues relevant to data analytics, software development and assessing
their potential impact on organization’s growth.
Distributing, parsing and scripting spreadsheet webpages for real time data analysis on
Google BigQuery Cloud platform using SQL like queries to extract and gain actionable
insights
Conducting structured analysis, data modeling and process mapping to assess
business requirements and promoting the big query SaaS platform within the Cloud
business unit
Developing and implementing data correction plans to address the issues as they arise,
ensuring the automated data imports/exports to run in the configured manner
Defining dataset definitions to ensure relevant application of metrics
Evaluating trends and standards for appropriate prediction analysis of fuel consumption,
engine statistics etc.
2. Planning and organizing information sessions to acquire business requirements.
Client Support Officer
BMO Financial Group - Mississauga, ON October 2010 to September 2013
Served corporate clients across U.S and Canada by fulfilling and auditing the MasterCard
requests, meeting the bank SLA and quality standards
Built relations with different teams and clients to ensure close alignment between
business objectives and operational processes.
Analyzed information and input from key stakeholders to identify business implications;
develop analytical strategy options and technological infrastructure impact analysis for
review by senior management
Worked effectively with both technical and business resources
Performed financial analysis, investigating necessary compliance issues
Successfully completed the courses on Bank Protection Act, Bank Secrecy Act, Foreign
Assets Control, Truth in Lending, Marketing Rules
Supported the project on conversion of new credit card system (TSYS, TS2) and
migration of Diners Club credit card portfolio to BMO
Assisted in the coordination of Client relation and employee management activities
Produced a variety of strategy and audit documents, including reports, whitepapers,
minutes of meetings, plans, training manuals etc.
Awarded for performance in leading correspondence work stream, monitoring the
projects and resolving issues effectively
Technical Consultant
Clear wire Inc. - Toronto, ON December 2009 to November 2010
Defined and developed system specifications and configurations for Sale and Inventory
Management requirements
Provided technical support on 3g and Wi-max 4g technologies.
Identified the root cause of the arising issues to plan and implement solutions.
Coordinated User requirements with executive support, recommend and implement
solutions.
Facilitated the customers and co-workers with the updated operational procedures.
Delivered web presentations to promote the upcoming marketing initiatives
Awarded for working effectively with cross functional teams to achieve project goals.
Senior Lecturer/Placements Coordinator
RBIET - Chandigarh, India July 2007 to April 2009
Interacted and worked with business users and engineers towards identifying and
facilitating the technical requirements
Delivered the course updates to engineering graduates
Generated detailed financial and operational projections for Projects
Presented the research content and Project reviews to senior management
Managed a team of developers on a project-by-project basis
Lecturer/Training and Development Officer
3. Doon Technologies, India December 2004 to June 2007
Planned, Developed and facilitated training mater ials for engineering trainees
Performed qualitative research, including writing research plans, conducting one -on-one
focus groups with project teams
Worked closely with various teams across the company to identify and solve business
challenges utilizing large structured, semi-structured, and unstructured data in a
distributed processing environment.
Conducted post implementation analysis to monitor the performance of teams
EDUCATION
M.Sc. (Applied Computing) Sep 2013 to Dec2014
University of Toronto - Toronto, ON
Certification in Business Analysis Oct 2012 to Dec 2012
University of Toronto - Mississauga, ON
Masters in Technology Aug 2005 to Jan 2007
Object Oriented Programing, RVD University
Bachelors in Technology Aug 1999 to Jan 2003
Computer Engineering, Kurukshetra University
LATEST PROJECTS
Data Audit and Security Standards Management
The project is being managed to implement a defined security and standards policy throughout
the connectivity process for Geotab devices
The Data Audit framework is defined, intended to be well defined covering the Safety Standards,
Sub Control Objectives, Expected Control, Assessment Priority and the Remarks.
Big Data Analysis and Reports Automation for Intelligent Fleet Management
Data scale: Real-time incoming data at the approximate speed of 1 file in 2 seconds, 25,000 rows
per file and 0.2KB per row, subject to growth.
Supporting Real-time streaming implementation into a data store, which can fit into real time big
data analysis. Integration and automation of batch reports generation with google spreadsheets.
Gaining actionable insights by developing real time data interactive dashboards in Tableau and
I Python.
4. GPU as an encryption accelerator
The project implements the AES encryption in open CL and compares the performance against
AES implementation, measuring the time it takes to run the OpenCL AES kernel on different sizes
of input.
http://jagleeso.github.io/gpu-encrypt-site/
MapReduce Optimization for Graph Analytics
Comparison of the performance of graph databases over a memory cloud.
Research on Graph analytics not being utilized enough in enterprises due to lack of available
platforms/tools and proposal of map reduce to optimize the low-latency online query processing
and high-throughput offline analytics, with increasing scalabilities.
Limiting Mobile data exposure with Idle Eviction
Research and analysis on the new Mobile Operating Systems to meet the data security concerns
imposed by data hoarded on various mobile applications.
A Proposal for an inexpensive, Low-latency Head-controlled mouse
The project introduced a novel, camera-based head-controlled mouse for RSI patients.
Experiments showed that HM allowed the participants to complete a pointing task faster than a
competing head-controlled mouse replacement. An analysis was then performed to indicate the
less physical effort required and quickly develop proprioception.
http://vandsaini.github.io/Head-Controlled-Mouse/