Experienced Data Analyst
Resume:
RAGHAV TAMHANKAR
***************@*****.***
LinkedIn: www.linkedin.com/in/raghav-tamhankar-24173655
GitHub: www.github.com/RaghavTamhankar
PROFILE:
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
EDUCATION:
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)
Mumbai, India PROFESSIONAL
EXPERIENCE:
1.
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
2.
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
3.
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
ACHIEVEMENTS
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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