Data Information Technology

VIJAYAKUMAR CHOKKALINGAM

**** *** **** **** #***, Houston, TX 77058 832-***-**** *********@*****.***

SUMMARY

Proficient in statistical data analysis and modeling techniques like survival analysis, sentiment analysis, churn analysis, segmentation, regression, decision trees, ANOVA, Hypothesis tests and T-tests

4+ years of experience in data mining and analysis, database marketing, customer profiling, segmentation techniques, RFM, time series analysis.

Extensive use of SQL to build, merge, subset and retrieve tables in SAS and SQL server

EDUCATION

Master of Science in Computer Software Engineering Aug 2016

University of Houston Clear Lake, Houston, TX

Bachelor of Technology in Information Technology April 2011

Sri Venkateswara College of Engineering, Chennai, IND

CERTIFICATIONS

SAS Certified Base Program for SAS 9 (BP063390v9) Sep 2016

Data Science Specialization by John Hopkins University - R Programming May 2016

ITIL Foundation Certification in IT Service Management (4845339.20192907) Sep 2013

SAS Advanced program for SAS 9 Expected Sep 2016

SKILLS

Statistical Packages: R, R-Studio, SAS Macro, Proc SQL, MS Excel, VBA/Macro

Computer Languages: Python, HTML, CSS, Java Databases: MySQL, Oracle, SQL Server

Visualization Packages: Tableau, ggplot2, Shiny, googleVis, RCharts, R-Markdown.

Operating System: Windows 10, Unix Other Tool: TWS, ControlM, AutoSys

WORK EXPERIENCE

Graduate Teaching Assistant, University of Houston Clear Lake Jan 2016 – Aug 2016

IMDB Users Segmentation using Ratings

Linked the given movie data and external IMDB API’s to increase the feature sets for the data

Preliminary developed a Hierarchal Clustering to determine the optimal number of clusters for the Users

Developed a K-means clustering using the optimal clusters from hierarchal to develop a classification algorithm

Data Analyst Consultant, Cognizant Technology Solutions, IND Jun 2012 – Dec 2014

Forecast channel revenue by leveraging linear regression and validated results with online projected revenue

Conducted data processing/manipulation, data cleansing, statistical modeling, programming and analysis work on customer behavior and relationship projects using SAS, Python and SQL

Developed ad-hoc reports/metrics, dashboards and scorecards to support business operations in decision making

Conducted QA test of an ROI optimization and projection tool by testing and cross-validating different scenarios

Entry Level Trainee, Arich Info Tech, IND Mar 2012 – June 2012

Analysis of the design of Software driven Vehicle for physically challenged

Used fact finding techniques like Interview, brainstorming, surveys to gather requirements from the users in real time to perform the analysis; Identified key functional and non-functional requirements

Performed validation and verification of the requirements and came out with desired requirements in a report

PROJECTS

Telecom User Churn Analysis Jun 2016

Used regression model to do churn analysis for telecom subscription using data of 10000 users & 100 features

Used Variable Influence Measure to select the most important variables and also removed high collinear variables

Predict Survival on the Titanic May 2016

Done extensive data cleaning by performing exploratory analysis to understand dependency among feature

Used ridge regression for feature selection and developed random forest model using SAS.

Twitter US Airline Sentiment Analysis Feb 2016

Analysed 300000 tweets of the user’s sentiments regarding the US Airlines for the month of February 2015

Developed a classification algorithm using the data that would classify tweets as positive, negative and neutral

DevOps for Continuous Software Delivery and Infrastructure change Jan 2016

Published a paper on how DevOps can be used efficiently for the design and implementation of the software

Understood the core concepts of DevOps and its principles namely, infrastructure-as-code, continuous deployment, automation, monitoring, and security

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