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What makes me a Potential Candidate!

Introduction

I am a data science professional with six years of experience in retail and banking (Ex-Walmart, Amazon, Mu Sigma). My expertise includes Supply chain & Delivery Optimization, Promotion design & impact Measurement, Credit risk assessment & optimization. I have had the opportunity to shape various products in their nascent stages by making analytical insights the backbone of launch & production decisions.

I did my Masters in Business Analytics from the University of Cincinnati and my Bachelor in Computer Science from India. I am seeking roles where I can contribute with my product analytics expertise while gaining more experience in data science and advanced statistics.

Experience

T-Mobile Jun 2022 - Present

Data Scientist, Credit Risk Management (SAS, Snowflake SQL)

  • Led $0.58M annual savings by quantifying lifetime value Vs churn to discontinue down payment program

  • Simulated new risk strategy on customer portfolio to estimate impact of the change, identify blind spots and exceptions

Aamazon Jul 2021 - Jun 2022

Business Intelligence Engineer II, Supply Chain Optimization (Redshift SQL, R):

  • Generated $1.56M incremental quarterly revenue by creating bidding system for sellers to request additional storage. This helped align information asymmetry and further boosted GMS by $0.45M

  • Improved in-stock inventory during holiday season by highlighting deficient regions and processes which prompted quick exceptions and seller call downs to maximize availability of high demand SKUs

Fifth Third Bank Sep 2019 - Jul 2021

Credit Strategy Optimization Analyst (SAS, R):

  • Built models to forecast credit card balances based on historic trends of similar customers

  • Saved $0.8M potential Charge off by optimizing criteria to identify customers likely to chargeoff and optimizing preapproved campaign selection rules

Mu Sigma Inc. Jul 2015 - Jun 2018

Decision Scientist | Client: Walmart (R, Hadoop, Tableau):

  • Predicted effectiveness of promotions using regression leading to 3% improvement in revenue of promoted products

  • Designed methodology to quantify promotion effectiveness using A/B testing

  • Lead a team of 6 analysts to build a 3-tier web based tool which helps procurement managers chose the right seller based on a seller scorecard and enabled partners assess business health

Trainee Decision Scientist | Client: Argos Retail, United Kingdom (R, SQL, Power BI):

  • Saved £3.6 M by devising statistical approach to detect fraudulent orders placed online

  • Developed automated dashboards and web tool to highlight delivery inefficient locations using GPS data from delivery vans. This led to enhanced planning, reduced delay & failure rate and higher CSAT

  • Created business proposals which expanded scope of work with the client by 1.5x and adding $0.5M in revenue

Academic Projects

  • Predicted popularity of insurance products by zipcode using multinomial classification and revenue using linear regression

  • Default Rate Prediction: Predicted customer default risk with German credit data using logistic regression & decision trees

  • Boston house price analysis: Compared LASSO, stepwise regression and CART models to predict price of Boston houses

  • Global CO2 Emissions (Tableau, R): Visualized global trends and predictions for countries having significant emissions

Academics & Skills

Education

University of Cincinnati, Cincinnati, OH 2018 - 2019

Master of Science in Business Analytics GPA: 3.8/4
Major courses: Probability Models, Statistical Modeling, Data Mining, Optimization Models, Data Viz., Data Wrangling in R, Simulation Modeling.

Dayananda Sagar College of Engineering, India 2011 - 2015

Bachelor of Engineering, Computer Science

Skills

Tools: R, Tableau, SQL, SAS, Python, Excel, VBA, Hadoop, Hive, Angular JavaScript, Github, Power BI, Power point

Statistical Techniques: Regression, Classification, Clustering, Bootstrap, Cross Validation, Hypothesis and A/B testing

Optimization: Linear, Goal and Mixed Integer programming, Transportation, FICO Express, Network modeling

Certifications

  • Data Science professional (Mu Sigma Business Solutions Inc., May 2017) which requires completion of 150 credits in Statistics, Business, Technology & visualization over a period of 18 months

  • Data Wrangling in R (DataCamp, Dec 2018): Covers 23 courses (96 hours) including Machine Learning, Data cleaning, Data mining, Statistical analysis and Sentiment analysis

  • A/B Testing in R (Datacamp)

  • Data Scientist Toolbox (John Hopkins University) & Algorithm Design (Microsoft)

  • Algorithm Design (Microsoft Research), India

Recommendations

Michael Kraetle, Vice President / Senior Bankcard Analytics Manager at Fifth Third Bank Relationship: Directly manager

Palash reported to me for the 2 years he worked at Fifth Third Bank. Our work environment required us to deliver complex, high-impact analyses and forecasts in a timely manner.

During his tenure, Palash stepped up to create a forecast process for one of our major products, in addition to which he quickly scaled to other products. He then added additional automations and diagnostics which greatly improved speed and efficiency. Palash could be relied upon to deliver these complex deliverables against tight deadlines.

During covid, our vendors were unavailable and Palash took over the data pipelining responsibilities to ensure smooth functioning for rest of the team. This was a significant addition to his responsibilities because this vendor work was in addition to generating the complex analyses mentioned above.

I enjoyed working with Palash and know he can succeed where he focuses his efforts.

Always seeking Challenges!

Continuing my journey in the field of Data science & analytics, I am excited to apply my knowledge and skills into solving real-life problems. I seek roles where I can utilize my product analytics strengths while gaining more experience in advance statistics and data science.

My field of Expertise includes:

Strategy and Portfolio Analytics

Supply Chain Management Analytics

Growth and Marketing Analytics

Operations Analytics

Contact details:

Primary Email ID:

Secondary Email ID:

Mobile No.: +1(513)-206-2639

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Thankyou for the consideration. I appreciate your time devoted to my candidature. I look forward to hearing from you. Any feedback are most welcome! I would certainly want to know on how can I continue to improve my profile and build a career in the field of Data Science.

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