Vijay Kadam has over 6 years of experience in business analytics, business intelligence reporting, and customer support. He currently works as a Business Analyst for Cisco at Infosys, where he analyzes client requirements, designs reports and dashboards in SAP Business Objects, and handles ad hoc requests. Prior to this, he worked as a Data Entry Marketing Associate, where he prepared daily sales reports and requirement planning in Excel. He holds a Bachelor's degree in Computer Application.
Конспект занятия рассчитан на детей старшего дошкольного возраста и может служить практическим материалом как для воспитателей так и для музыкальных руководителей детских садов. В моей наработке представлены материалы из личного семейного архива (Презентация «Мой дедушка-военный…»).Надеюсь, что представленный мною материал найдет свой отзыв и послужит хорошим подспорьем для педагогов ДОУ.
Evaluation of Logistic Regression and Neural Network Model With Sensitivity A...CSCJournals
Logistic Regression (LR) is a well known classification method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. Artificial Neural Networks (ANNs) are popularly used as universal non-linear inference models and have gained extensive popularity in recent years. Research activities are considerable and literature is growing. The goal of this research work is to compare the performance of Logistic Regression and Neural Network models on publicly available medical datasets. The evaluation process of the model is as follows. The logistic regression and neural network methods with sensitivity analysis have been evaluated for the effectiveness of the classification. The Classification Accuracy is used to measure the performance of both the models. From the experimental results it is confirmed that the neural network model with sensitivity analysis model gives more efficient result.
groupVision was established in the early 90s and has acquired a unique expertise in leading products for collaboration. Our in-depth understanding of group processes is based on a distilled experience of more than 15 years in computer support for cooperative learning with MeetingSphere. No matter your unique challenge, we can advise on a cost efficient solution for every group collaboration need and implement it with you.
Конспект занятия рассчитан на детей старшего дошкольного возраста и может служить практическим материалом как для воспитателей так и для музыкальных руководителей детских садов. В моей наработке представлены материалы из личного семейного архива (Презентация «Мой дедушка-военный…»).Надеюсь, что представленный мною материал найдет свой отзыв и послужит хорошим подспорьем для педагогов ДОУ.
Evaluation of Logistic Regression and Neural Network Model With Sensitivity A...CSCJournals
Logistic Regression (LR) is a well known classification method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. Artificial Neural Networks (ANNs) are popularly used as universal non-linear inference models and have gained extensive popularity in recent years. Research activities are considerable and literature is growing. The goal of this research work is to compare the performance of Logistic Regression and Neural Network models on publicly available medical datasets. The evaluation process of the model is as follows. The logistic regression and neural network methods with sensitivity analysis have been evaluated for the effectiveness of the classification. The Classification Accuracy is used to measure the performance of both the models. From the experimental results it is confirmed that the neural network model with sensitivity analysis model gives more efficient result.
groupVision was established in the early 90s and has acquired a unique expertise in leading products for collaboration. Our in-depth understanding of group processes is based on a distilled experience of more than 15 years in computer support for cooperative learning with MeetingSphere. No matter your unique challenge, we can advise on a cost efficient solution for every group collaboration need and implement it with you.
Ensayos nucleares en la región de la Antártida, Países miembros del tratado de no proliferación, beneficios del tratado, consecuencias, situación actual.
Associate sap crm consultant ashish resume (1)Ashish vishen
5+ years of experience in end to end implementation of ERP and SAP CRM with focus on Supply chain, Sales, Marketing, Service functions; Experience across implementation, support, enhancement and integration projects.
Good Knowledge of ERP Package - QAD (Distribution Module (Purchase, Sales & Inventory) & Finance (AP, AR & GL)
Strong Experience in handling Business customers.
Strong exposure with different client (China, Australia, Philippines, Thailand, Indonesia & New Zealand) across the FORD Motor Company.
Good working exposure with Requirement management, Feasibility analysis and Business Process Re-engineering
Proven ability to translate business objectives into clear functional and technical requirements.
Excellent communication and interpersonal skills.
Good experience with different SDLC methodologies -Agile, Scrum, Waterfall.
Experience with Project planning, Sprint planning, Sprint execution, and Project metrics management.
Hands-on experience in developing the following documents- BRD, FRD, As-Is and To-Be process document, Use case, Process flow diagram, Gap Analysis Document, Trace ability matrix, User Interface design, UAT cases, product manual preparation.
1. Vijay Kadam
Mobile#: 9881932532 E-mail: vijaykdm143@gmail.com
CARRIER HIGHLIGHTS
Strong customer support, Analytical & Operations skills.
6 years’ Experience in Business Analytics, Business Intelligence Reporting & Customer Support.
Well versed in SAP Business Objects (BI4) – Query creation and anticipate business requirement,
Has extensive knowledge of CISCO - CPE business.
Job Summary:
ClientDesignation:BusinessAnalyst, Company Designation:ProcessSpecialist(SME).
WorkingwithInfosysBPOLtd, Since May 2012 for CISCOin BusinessIntelligence &Analytics Team.
CAREER OBJECTIVES:
To obtaina challengingpositionandtodevelopmyself whereIcan contribute the bestof my Skills, Knowledge &
Servicesforthe Growthand developmentof the organization.
Responsibilities:-
ReviewClientrequirementandperformGap/Impactanalysis.
Expertise inworkingonthe SAPBusinessObjects(BI4) applicationandSalesforce.com(CRMtool) whichincluded
Featureslike QueryCreation,Dashboarddesign,Report/MetricGeneration,Statistical Analysis,history/reportof cases.
Understandsbusinessrequirementsof the requestorand prepare reportsindiscussionwiththe client/stakeholders.
HandlingAd hocrequestswhichenablesfasterandeffectivebusinessdecisions.
WorkingonCritical reportssuchas Balance Score Card MetricsQuad & Forecastingsnapshotreport.
TimelyCollaborationwithITteamfordata integrityinBusinessObjects
Extract,Collect/consolidate &Analyze datausingtoolssuchasMS Excel,BusinessObjects.
Skills Sets:
Report/ MetricGeneration
CustomerService experience
ToolsProficiency:
BusinessObjects(BI4) CRS (SharePoint)
BMC Remedy(8.1) IMS (IntegratedManagementStudio)
CRM- Salesforce.com UpdatingJive Page Html code,Excel Macro modification&testing.
ERP Systems:SAP,Oracle (R12& 11i) AS/400(MAPICS) Tableau
ACHIEVEMENTS:
• AwardedwithOnthe spotrecognition-ShoutOutvendorawardbyclient.
• Got Extra Milerand Ramp/Spotawardsforthe best workingperformance &achievements.
• GetHigh C-Satsurveysfromthe requestersforeffectivelymanagingad hocrequests/queries.
• AwardedasBestperformerfordiligentlyworkingonreportsandmeetingclientexpectations.
2. 2) Workedwith SKF India Ltd. (Mafoi-Randstad) fromMay 2010 to March 2012 underBusiness DevelopmentDepartments
Vehicle PartCenter(Warehouse).
Company Profile:
SKFIndiaLtd., Chinchwad.Is a Manufacturingcompany makingproductionof Bearings.
Designation:Data Entry MarketingAssociate/BusinessExecutive.
WorkedonAS400 (MAPICS) systemforInwardinginvoicingandmaterial.
WorkedonExcel for preparingDailySalesReports(DSR) andRequirementplanning.
HandlingBilling/Invoicingactivities.
HandlingMarcom andStore-stockactivities.
3) TATA TOYO Radiator Ltd. from Aug.2009 to Apr.2010 under Quality Department.
Company Profile:
TATA TOYO RadiatorLtd.,Hinjewadi.IsaManufacturingcompanymakingproductionof Radiators,
IntercoolersandHeatercores.
Designation:SAPOperator(Data EntryOperator)
WorkedonSAPERP systemfor enteringandpassingqualityof productionentries.
WorkedonExcel for preparingQCChecklistandReports.
EDUCATION
Bachelor of Computer Application – (Shivaji University), 2009.
Higher Secondary – XII (2006)
Secondary - Class X (2004)
STRENGTH
Positive Attitude Dedicated towards workClient Interfacing Skills Hardworking
Good decision making & Analytical skills
PERSONAL VITAL
Date of birth : 19th
Sep. 1988
Present Address : R-22, Kakade Township, Keshav nagar, Chinchwad, Pune-33
Permanent Address : A/p- Natoshi, Tal- Patan, Dist- Satara. Pin-415206
Mobile No. : 8237712466, 9881932532
DECLARATION
I do here by declare that the facts stated above are true and correct to the best of my knowledge and belief.
Place: Vijay Kadam
Date: (signature)