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Experienced Data Analyst

Saratoga Springs, NY
June 01, 2018

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Master’s in Business Analytics (S.T.E.M) graduate with MBA and 2 years of experience in data analysis, statistical modelling and consulting, seeking a full-time opportunity

• Data Analytics and Visualization – SQL, Python, R, SAS, MS Excel, Tableau, Hypothesis testing

• Competencies – Leadership, Communication, Critical Thinking, Market Research, Reporting, Dashboarding, Presentation


Master of Science, Business Analytics and Information Management

Jun 2017 - May 2018

Purdue University, Krannert School of Management

West Lafayette, IN

Master of Business Administration – Finance, Strategy and Marketing

Sep 2015 - Jun 2017

University of California, Anderson Graduate School of Management

Riverside, CA

Bachelor of Technology - Pharmaceutical Sciences and Technology

Aug 2010 - May 2014

Institute of Chemical Technology (Formerly known as UDCT)




Data Analyst

Aug 2017 – Apr 2018

Krannert School of Management, Purdue University

West Lafayette, IN

Fortune 500 retailer (National auto parts retailer)

• Developed a predictive model for sales using Poisson Regression and LDA for better assortment planning and lead times

• Examined a large dataset – 80 M SKUs and 36 features involving product lifecycles, failure rates and sales metrics

• Clustered products using lifecycle and expected regional demand using displacement and density-based algorithms

Fortune 100 healthcare insurance provider

• Managed a team and looked over tasks related to data mining, predictive modelling, results, followed by code sprucing

• Applied principal components analysis to scale 750 features to 100 and improved predictions by using Gradient Boosting

• Predicted likelihoods and number of inpatient admissions and readmissions of 100,000 diabetic patients


Data Research Analyst

Apr 2016 - Jun 2017

Anderson Graduate School of Management, University of California Riverside, CA

Analytics projects in operations management and forecasting

• Developed a profitability model for a B2B business company by implementing simulation modeling techniques

• Simulated 30-year historical market prices using Brownian Motion involving Markov Chain matrix for product’s quality

• Formulated supply and demand forecast models, and conducted market research for obtaining probability calibrations

Strategic Planning Board Anderson Graduate School of Management

• Presented an SEO strategy for increasing prospective student outreach and improving brand perceptions

• Revamped website content and suggested development of academic offerings portfolio to include certification courses

• Performed competitive analysis for UCR’s business school on multiple KPI metrics and calculated its theoretical rank


Supply Chain Intern

Jun 2016 - Sep 2016

Wal-Mart Inc. Distribution Centers and Neighborhood Market Stores (NHM Stores)

Apple Valley, CA

Project involving financial analysis of automation systems

• Recommended 9.2% ROI ‘Re-induction sorter’ that reduces expenses for each NHM store by $42,000/year

• Mentored team of 4 interns in identifying opportunities for aisle-ready pallet automation systems in shipping department

• Investigated production improvements and cost reductions achieved on store-side receiving of NHM stores


Bill Clinton Global Initiative, HULT 2018 challenge

• Won state level, competed at national level and got placed in the top 60/50,000 teams globally

• Started-up a company, led a team of 3 and oversaw activities pertaining to prototype building and market research

• Established relationships with stakeholders for obtaining insights on marketing strategy and product implementation

• Directed activities in a fast-paced environment, worked with cross functional teams and solved strategic business problems

• Examined 14 patent profiles, portfolios for 55 products and built financial forecast model with a breakeven of 4.8 years

Cisco Big Data Dive Challenge

• Placed 3rd (out of 95 teams) in the competition involving data analytics and strategy consulting, led a team of 4

• Used machine learning and optimization techniques to maximize contract renewals and influencing consumer behavior

• Achieved an AUC of 0.84 with 82% sensitivity and 86% specificity over a complex data set - 6 M rows and 240 features

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