May 2019 – Dec 2019 · 7 mos · Bangalore

• Working as an Assistant Manager in Data Science as part of Research & Analytics Group.
• Client: Large SA based Retailer
• Created a framework to identify & analyze unique customers and historical transactions
• Performed Exploratory Data Analysis to identify different use cases based on triangulating the customers
• Used a combination of design thinking methodologies and graph theory to develop a unique customer identifier system
• Successfully attributed 2 Billion in revenue to VIP customer segment and provided improvement of 30% increase in trackable transactions

Jan 2019 – May 2019 · 4 mos

• Pre-Sales & Solutions Support
• Supported sales teams with POVs, Analytical Solutions and responses to RFPs and RFIs
• Interacted with customers and internal stakeholders to identify & articulate the key problem areas, designed and presented the analytical solutions for problem statements

Aug 2017 – Dec 2018 · 1 yr 4 mos

• Worked as a Decision Scientist and Solution Architect for multiple customers across several Data Science and Analytics Projects.
• Client: Fortune 500 US based Automobile Manufacturer
• Provided Recommendations to increase revenue; built a multinomial logistic regression model to understand the effect of price on the sale of wheels
• Provided price increase recommendations which led to an impact of 4 Million USD in revenues
• Built Apriori algorithms to identify the features which are sold together and provided recommendations to bundle them together
• Provided Price elasticity scores for all aftermarket service parts; built clustering models to cluster all similar parts together, used the difference in price point in a cluster as a proxy to calculate price elasticity
• Provided price change recommendation for 17 parts which would create a total impact of 4.5 Million USD
• Supported building an end-to-end roadmap for identifying areas of improvement; identified Gaps and created detailed business process flow identifying the current process followed for any analytical decision
• Created a classification model to identify a customer’s propensity towards an offer
• Create insights for different segment of customers based on their behavior which advisors can leverage during the call

Aug 2015 – Aug 2017 · 2 yrs

• Client: Fortune 500 US based Retailer: Pharma Business
• Developed an Analytics & Insights platform to provide a holistic view of Rx re-imbursements and drug performance
• Created a comprehensive view for Rx drug performance – market share, category performance, sales, profitability, discounts and rebates
• Designed SAP HANA based data mart and handled the data ingestion, data transformations and data engineering workloads; optimized the SQL queries to reduce query run times
• Built a Framework to calculate the True Cost of a drug; provided a heuristic solution to arrive at the true cost of the drug
• Built a solution to Forecast sales of branded drugs post patent expiration; created a time-series model (ARIMA/ ARIMAX) to forecast the sales of the branded drug and its generic equivalent with 80% accuracy
• Tools used: Alteryx, SAP HANA, Teradata, R