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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE | EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE
OBJECTIVE
A result-driven worker eager to begin an internship position where versatile analytical skills can contribute to the successful
operations of the company. Solid analytical and data management skills, a methodical approach to task completion and the
ability to meet strict deadlines ensure the provision of an effective support in a busy office environment.
EDUCATION
The University of Texas at Dallas December 2017 (Expected)
M.S. in Business Analytics 3.58
Deans Excellence Scholarship (Aug 2016 - July 2017) Granted for overall excellence in academics
Sri Sairam Engineering College April 2014
3.2
B.E. in Electrical and Electronics Engineering
TECHNICAL SKILLS
Analysis Tools: SAS Enterprise Miner, R Studio, Microsoft Excel Data Analysis, Rattle
Business Intelligence: Qlik View, Qlik Sense, Tableau, Google Analytics, Alteryx
Programming: SAS, R, SQL, Python, C++, C
Database/RDBMS: Microsoft SQL Server, MySQL, Access, Oracle DB
Statistical Techniques: Linear Regression, Logistic Regression, Decision Tree, Clustering, Nave Bayes, Random Forest
Operating Systems: Windows, RedHat Linux, CentOS (RTOS)
BUSINESS EXPERIENCE
HCL Technologies Ltd. August 2014 June 2016
Software Engineer
Succeeded in Lean Six Sigma Project Continuous Integration; automation of code cycle - checkout,
compilation, build (CentOS), test and binary flash into device (Windows) - cross-platform automation, leading to the
reduction of project cost by $75,000 approx. per annum.
ACADEMIC PROJECT
Data Analysis to find Credit Card Defaulters November 2016 December 2016
Cleansed data, preprocessed, performed descriptive analytics, Logistic Regression, Random Forest, AUC Curve,
Gini Index techniques to create and choose the best model.
Ascertained the conclusion that senior citizens and people with undergraduate degree defaulted the most whereas
highly educated people had good credit score.
Recommended in keeping a scorecard with selected variables which impact the model most and customers who
contribute to atleast 3 of those variables enter the Red Zone and needs to be monitored.
Marketing Detachable Shoes October 2016 December 2016
Developed a marketing strategy in order to penetrate the footwear market with this innovative idea.
Implemented customer segment value through this project is the reduction of cost for replacement of shoes since the
skin and sole are separate units attached by a zipper. Purchase of sole or skin can be made separately.
Performed SWOT Analysis, Situation Analysis, Target Market Analysis, Marketing Strategy and Financial
Analysis.
LEADERSHIP & ORGANIZATIONS
Intelligence Analytics Society Affiliate August 2016 Present
Bhumi (NGO) Teacher (Mathematics) July 2013 December 2013
Sri Sairam Engineering College Event Manager for EEE Symposium January 2014 April 2014
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