C++, Python, R, SQL, SSAS, QlikView, MatLab, Python, Hadoop, HIVE, Microsoft Office [Excel, Word, Powerpoint]
Honors: MCPS - 70
Customer promotional sensitivity and valuation - Walmart (capstone) January 2016.
Evaluated incremental revenue gain from customer initiated discounting options for Walmart.
Recommended promotional strategies and identified target cohorts based on statistical analysis (log regression using interactions, T-Tests in R) of significance and sensitivity of customers who use discounting options - coupons and ad match
Classify operating condition of water pumps in Tanzania - University of Texas at Austin November 2015.
Developed a random forest based algorithm to predict faulty water pumps as a part of online challenge to help the Tanzanian Ministry of Water.
Pre-processed data by feature selection, imputation and adding open data; handled class imbalance by upsampling, downsampling, ROC curves and developed classification models in Python - SVM (70%), naïve bayes (65%), logistic regression (69%) and random forest (82% overall accuracy)
Understanding correlation between reviews and car sales using sentiment analysis and PageRank - University of Texas at Austin September 2015.
Analyzed sentiments of different car model reviews from Edmunds.com using textblob, NLTK in Python.
Identified preferences between car models using weighted PageRank algorithm to create a product network and found 70% correlation with sales
Analyzed economic inequality in the US based on societal characteristics by using k-means in Python - University of Texas at Austin August 2015.
Developed an unsupervised clustering model to identify the economic inequality among people in the US based on the General Social Survey data.
Demographic segmentation based on varying societal and demographic characteristics using k means algorithm in Python that could be used for marketing strategies and framing socio-economic government policies.
08/2016 to Current
Data Science ConsultantDeloitte Consulting LLP － Arlington, US, VA
Developed a Python based text classification model using NLTK and scikit learn libraries that learns from the texts entered as input by case workers for a county to classify requests.
Developed data model using SQL and Python to retrieve benchmarks metrics for surveys to analyze culture of a company - A Deloitte Product.
Developed Python Sentiment Analysis of Twitter Data for Mergers and Acquisitions using.
05/2014 to 05/2015
Strategized and led organization of campus recruitment events in Bangalore and Chennai for Thorogood Associates.
Analyzed historic recruitment data and implemented changes to the recruitment process to achieve 75% rise in college recruit targets.
Designed data flow diagrams and data models to streamline recruitment process in Bangalore.
07/2012 to 05/2015
Project LeadThorogood Associates Pvt., Ltd - Business Intelligence Consultant － Bangalore, India
A specialist Business Intelligence and Analytics consultancy delivering intuitive, user-friendly information systems Project managed a team of three consultants from India and contributed to resource planning and allocation for optimum resource utilization.
Organized business user trainings in Munich, Germany and communicated technical use cases of applications with key business users.
Designed data models using star schema in QlikView; drafted visualizations to help business improve key calls and sales metrics
Expertise in full project life cycle management from development to implementation across all environments (Dev / UAT / Production).
Led a team of two to build BI and Analytics system for Fortune 100 US mutual insurance company; enabled more than 50 senior business users to track loss incurred over different accident dates and development periods using Loss Triangles;.
Analyzed and tracked effectiveness of forecasts made during the demand planning and activity planning week of a Fortune 100 CPG company.
01/2011 to 05/2012
PresidentChemical Engineering Association
Headed the national department technical symposium Alchemy 2012 that saw more than 30% rise in participants.
Supervised and coordinated national and international workshops and guest lectures for ChEA, NIT Trichy.
Master of Science: Business AnalyticsThe University of Texas at AustinBusiness Analytics 3.74 / 4.00
Bachelor of Technology: Chemical EngineeringNational Institute of Technology － TrichyChemical Engineering 8.78 / 10.00
-461, MCPS - 70-463, Data Science - Duke University (Certificate of Distinction, Coursera); Thorogood Associates; Passion Award (2014), NITT; 2nd in Class, (2012)
streamline, BI, Business Intelligence, C++, information systems, insurance, MatLab, Mergers and Acquisitions, Excel, Microsoft Office, Powerpoint, Word, Python, recruitment, sales, SQL, surveys, symposium, workshops