Vivek Adithya Mohankumar's Resume

1. VIVEK ADITHYA MOHANKUMAR
1086 Robin Way, Sunnyvale, California 94087
 682-365-0516 |  vivek@vivekadithya.com |  vivekadithya.com |  vivekadithya |  vivekadithya
University of Texas at Arlington Arlington, Texas
MASTER OF SCIENCE IN INFORMATION SYSTEMS May 2017
WORK EXPERIENCE
Department of Management, University of Texas at Arlington
GRADUATE RESEARCH DATA INTERN - R | SAS | PYTHON | SPARK | TABLEAU | MS EXCEL June 2016 - August 2016
• Experiment design, data collection and processing for research studies with Python.
• Data collection through APIs, Optical Character Recognition and Thomson Reuters Datastream application.
• Data processing and analysis using VLOOKUP, Pivot tables, functions, complex filters, custom lists, MACROS and so on.
• Student feedback analysis application development, and class enrollment data reporting and visualization using Tableau.
SAP
INFORMATION DEVELOPER - AGILE | SCRUM | SAAS | DESIGN THINKING | UX | JIRA December 2012 - July 2015
• Gathered, developed, maintainedbusiness requirementsfor SAP Business ByDesign, SAP Cloud for Traveland Employee CentralSaaS
solutions from initial phase to final implementation, assuring requirements meet standards.
• Worked closely with Software Architects, UI Designers, Developers and QA to translate high-level requirements into User Stories.
• Worked closely with the end users, to research and analyze the user experience with Design Thinking methodology, and proposed
feature enhancements.
• Designed wireframes for Production Module, perfecting the business process flows and meticulously improving the user interface in
an Agile software development environment.
• Performedsystem, acceptanceandusabilitytestingofthesolutionstoensurethatthedeliverableswereconsistentwithrequirements.
• Performed SQL data extraction, analysis and reports generation using SAP Business Objects and Lumira to track the KPIs.
• Developed and maintained MACRO scripts to automate data processing and analysis.
AWARDS & RECOGNITIONS
• Constellation Award at SAP for coordinating with customers across 17 countries and delivering product deliverables within 3 months
• Finalist at Informs Data Analytics Competition 2017- Ranked in the top 10 teams (out of 143 teams) in the whole of Texas
PROJECTS
• Realtime CLV Estimation and Consumer Conversion Prediction - Python | LinearRegression | Classification | Pandas | Sklearn:
Trained a regression model based on historical purchase information aggregated on a monthly time frame, to estimate the consumer
lifetime value. And, trained a bayesian classifier to predict the probability of a consumer placing the order, using clickstream data.
• On-time Performance Analysis of US Domestic Flights - Apache Hadoop Streaming | HDFS | MS EXCEL | MapReduce | Shell Script:
A Map Reduce application to report the departure delay and arrival delay by flight number for all origin-destination airport combina-
tions over a specific time period.
• Business Transaction Analysis and Reporting - Apache Spark | PySpark | Spark SQL:
Data extraction and processing of business transactions, of a nationwide super market chain with Apache Spark framework. Using
SparkSQL, the processed data was analyzed and daily, weekly and monthly reports were generated to track the business on the basis
of the products sold, store location, promotions and so on.
• Apple Product and Marketing Strategy Analysis - Market Research | Shareholder Value Model | Growth Analysis:
Performed market research to understand the competitors and the market fit of apple products prior to their launch. Carried out lad-
der analysis and face-to-face interviews with the users to gauge the brand associations and the product experience. In addition, used
tools like Position Map, SWOT Chart, Value Leadership Framework, Decision Analysis Framework and Shareholder Value Models to
analyze the product market fit, evaluate the investment and devise marketing strategies.
• Data Analysis and Performance Forecasting to Optimize Freight Carrier Selection - Tableau | MS EXCEL:
Analyzed historical logistics data and built an interactive tool to assist PepsiCo’s logistics managers in making informed decisions
based on the results of the analysis. The tool aims at reducing the cost variance taking into account the carrier reputation, transporta-
tion capabilities and their price quote.
• Data Mart Implementation and BI Reporting - ETL | Dimensional Modeling | SAP BW | SAP BusinessObjects | SAP Lumira:
Performed ETL and data integrity checks to transform, standardize and load data into a data mart. The data mart was later queried to
generate reports that track the strategic KPIs using SAP BusinessObjects and, developed visualizations using SAP Lumira.
AREAS OF EXPERTISE
– Business Requirements – UX Research – Data Analysis – Agile Methodologies – Decision Analysis – Product Support – Metrics & KPIs
Machine Learning – Operations Research – Team Leadership – Business Intelligence – BigData – Knowledge Management
TRAINING & CERTIFICATION
– LookerEssentialTraining–Tableau10EssentialTraining–BusinessAnalysisandNeedsAssessmentTraining–ManagingandAnalyzing
Data with MS Excel – Predictive Consumer Analytics – Measuring Business Performance – Agile Project Management