17+ years of experience in designing and implementing BI & Adv. Data Analytics across various domains – Retail, Telecom and IT Management Solutions – Service Management, Project & Portfolio Management & Security.
Passionate about helping customers employ modern tools as part of the democratization of data and now, data science.
Drawing on a diverse background including IT Product Development, Services & Support, and Training.
Loves solving complex business problems that require leadership, teamwork, and technical skills.
Having hands-on expertise in advanced business analytics using R, Python, Azure ML, Adv BI tools & platforms - Power BI, Qlikview, Tableau and Distributed Data Platforms - Hadoop, NoSQL DB (MongoDB, CosmosDB, Neo4j) and traditional data warehouse platforms - Teradata, MSSQLServer.
Data & Insights - Adv Analytics Consultant at Microsoft
Apr 2017 - Present
Director, BIG Data Analytics at CA Technologies
Sep 2013 - Mar 2017
Responsible in Strategy & Execution all the Analytics projects with the goal of increasing sales effectiveness, customer loyalty, marketing effectiveness, and financial insights. Defined the Business Analytics as a Strategy Model that can enable Using Predictive Insights To Make Better Business Decisions & Enabling Sales, Marketing & Customer Success Organization with Insights Data as a Service, Information As a Service, Over The Counter (OTC Analytics) and Self Service Analytics. Transformed business intelligence processes through introduction of big data and predictive analytics technologies Processing & Transformation with PIG, RHadoop & load into Analytics DataLab for further Processing & Governance. Exploration, Discovery & Insights building using Qlikview, QlikSense & SAP BI Apps. Analytics & Statisitical Analysis for Prediction & Optimization strategies on “R”, “RapidMiner”, “BeyondCore”, “SumoLogic” platforms. Keep a pulse on emerging data analytic trends to figure out how CA can tap into these trends Understand CA's business constraints to ensure that data analytics strategy proposed in an area is executable. Communicate with other Data Scientists as well as engineers. Interpret the analytics message to sales, marketing, finance, product management as well as customers. Lead data scientists, train & mentor them. Bring about significant innovation in IT operations and business decisions based on analytics Leverage data mining and machine learning approaches to model and predict end user behavior. Extract insights and actionable recommendations from large volumes of data.
Manager - Software Engineering at CA Technologies
Jul 2012 - Sep 2013
Working for the Business Intelligence Center of Excellence with our major emphasis being Delivering BI Enabled IT Managament Solutions. Our responsibilities cover the below areas: - Delivery of Business Intelligence solution (Reports, Dashboards, etc) across CA products - Research activities aligning with the roadmap & vision of BI CoE & CA - CoE activities (Guidelines, Best Practices, etc) - Support & Maintenance - Training & Consultancy
Principal Software Engineer at CA Technologies
Dec 2009 - Jul 2012
Working for the Business Intelligence Center of Excellence with our major emphasis being Delivering BI Enabled IT Managament Solutions. Primary responsibilities cover the below areas: - Delivery of Business Intelligence solution (Reports, Scorecards, Dashboards, etc) - Research activities aligning with the roadmap & vision of BI CoE - Development of Tools for automation - Localization, Deployment etc - CoE activities (Guidelines, Best Practices, Next Practices etc) - Support & Maintenance - Training & Consultancy
Team Lead at CA Technologies
Oct 2007 - Nov 2009
Identifies user profiles and designs report to meet users’ needs Understands the business questions that users are trying to get answered and translates them into Business requirements Based on the report requirements, design the staging tables and creates procedures to populate the Staging tables from the Production tables. Develops semantic layer of BI objects (Universe) for end users Translate Functional specification documents into Technical Specification documents. Designed and developed the KPI reports – Marketing, Finance and Operations KPI reports. Administering Users and Content with the CMC Develop Unit Test Cases to validate the data in the reports Conduct User Acceptance Test reviews. Deployment of report from Development to Test and Test to Production Environment Schedule the report and grant and manage the Security policies of the User Groups.