VINAY RAMESH VERNEKAR

*** *, ******* ***** ***, Bloomington, IN 47404 Cell- 812-***-**** ac0dnt@r.postjobfree.com GitHub LinkedIn Website EDUCATION

Master of Science in Data Science August 2015 - May 2017 Indiana University, Bloomington, IN (GPA 3.86/4.0) Master’s in Finance August 2007 - Feb 2009

MITSOB, Pune, India (70% with distinction)

B.B.A June 2003 - April 2006

Karnatak University, India (80% with distinction)

PROFESSIONAL EXPERIENCE

Indiana University, Bloomington Dec 2015 - Dec 2016 Associate Instructor

● Guided and taught 30+ students Python programming and held Lab sessions Myntra Pvt Ltd/Vector E-commerce Pvt Ltd (acquired by Flipkart.com) March 2013 - July 2015 Data Analyst

● Supported decision making through insights derived from consumer data using data mining, understanding the characteristics of customer base and repeat buyer analysis

● Designed features and then SQL queries to identify fraudulent patterns, and reduced fraudulent returns by 70%

● Designed features to predict and reduce non delivered orders

● Predicted impact of each customer contact point using logistic regression to improve NPS

● Identified operational abnormalities, reduced losses and designed dashboards AMBA Research India Pvt Ltd June 2011 - July 2012

Analyst

● Performed Financial modelling and predicted the future earnings of the company

● Discounted cash flows models, valuation and reporting Bank of New York Mellon, India June 2009 - May 2011 Operations Executive

● Evaluated the rate and holding period of securities using Excel

● Researched, resolved discrepancies and reporting capital structure for risk management ACADEMIC PROJECTS

● Analyzing US Presidential elections 2016: Designed framework for sentiment analysis of social media posts and determining the region wise popularity of each candidate

● IU Bus Predictive Modelling: Built predictive model to determine the punctuality of a bus for any given stop

● Wikipedia Text Data: Analyzed text data to find similarity between major events and Semantic role labelling

● Time Series Analysis: Frequency domain analysis of SNP and Nikkei index using ARIMA and ARIMAX

● Amazon Product Reviews: Sentiment Analysis on product reviews using logistic regression

● Lending Club: Built decision tree model to predict whether or not a loan will be defaulted or not

● HDFC Bank, India: Determined the creditworthiness of the client by using financial statements and ratio analysis TECHNICAL SKILLS

Skills: Machine Learning, Data mining, Statistical analysis, Predictive modelling, A/B testing, Time series analysis, NLP. Programming: Python, R programming, SAS, C++ basics, Java basics, Pandas Tools & Databases: SQL, MongoDB, Tableau, Py-Spark, Lucid Charts, MS Office, NumPy, Scikit-learn, NLTK. ACHIEVEMENTS AND INVOLVEMENTS

● Reduced genuine customer returns by 4% at Myntra

Contact this candidate