Lalithakishore Narayanabhatla

Design and Implement Big Data Analytics Solutions

Hyderabad, Telangana, India

Summary
BI & Bigdata Decision Sciences Data Machine Learning Analytics

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.

Experience

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.

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