Jun 2022 – Aug 2022 · 2 mos · London, England, United Kingdom · On-site

• Identified opportunity to increase spend margins of the UK consumer segment from 0.77% to 1.02% by analysing the evolution and purchase behaviour of unprofitable card members for largest product portfolio, making up 25% or USD 10.3B of total billings
• Compared purchase behaviours and profiles of cardmembers generating negative spend margins
• Analyzed the evolution of these members (both from a CM behaviour and product change perspective)
• Provided the UK leadership team with recommendations on potential future mitigation strategy considerations

Aug 2020 – Jul 2021 · 11 mos · On-site

• Performance measurement and strategy design for a Fortune 120 US Banking and Financial Services company
• Led a 4-member team to support critical modules in the Automobile Loan Portfolio
• Prepared monthly forecasts and portfolio review reports, facilitated assessment and strategy formulation for ~25K product lending amounting to ~USD 16B
• Automated the portfolio performance engine (it reported insights and action items for senior stakeholders through analysis of Key Performance Indicator such as Loan originations, Fraud losses, P&L Statement, pricing changes) which reduced processing and compilation time by 19 hours
• Analyzed impact of Covid-19 on Delinquency rates and generated risk adjusted forecasts (80% accuracy) based on changes in customer preferences
• Created dashboard visualizations on Tableau to capture profitability trends across vintages and present automated P&L report, thereby reducing manual effort by ~80%

Jan 2019 – Jul 2020 · 1 yr 6 mos · On-site

• Development and supervision of model building projects for a Fortune 30 US telecommunications conglomerate
• Supervised team of 3 to develop multiple machine learning models predicting purchase behaviour of ~41M customers for a leading US Telecommunications conglomerate, resulting in USD 36M in savings
• Deployed multiple Predictive Statistical models targeting ~41M customers to provide data-driven insights for a wide range of business problems
• Improved accuracy of 20+ existing models to help client formulate marketing strategy, leading to USD 17M cost savings
• Performed COVID-19 Impact analysis on top 40% customers by sales and attributed factors causing change in their behaviors
• Conducted research and innovation to improve the quality of client's work, impacting methodologies, tools and techniques

Oct 2017 – Nov 2018 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

• Optimized Supply chain & Demand Planning through data-driven solutions for Middle East’s largest retail & hospitality conglomerate
• Generated store-transfer recommendations and monthly inventory orders worth USD 400K by forecasting demand at Stock Keeping Unit (SKU) level for ~200K SKUs
• Built automated inventory alert system to monitor status on a weekly basis; saved USD 4M by reducing unproductive inventory and lost-sales-opportunities due to stock depletion by building a demand forecast engine (70% accuracy)
• Increased revenues by USD 435K by automating analysis of sales and demand for product-lines in ~95 stores and recommending inter-store transfers based on potential opportunity in stores with high demand

Apr 2017 – Oct 2017 · 6 mos · Bengaluru, Karnataka, India · On-site

• Assisted Marketing and Analytics team of a Fortune 130 US Foodservice distributor (B2B)
• Improved prospect conversion rate by 20% by identifying right prospects with higher probability of conversion through a prediction-model based on customers’ historical sales and tenure with business
• Identified target audience and designed strategies (Up-sell, Cross-sell, etc.) with a budget constraint of USD 1M, increasing profit margins by 40%
• Projected 3-year future-looking value of customers using Markov chain model, Logistic Regression & Survival Analysis to improve customer targeting in marketing campaigns, reducing their churn propensity

Oct 2015 – Mar 2017 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Assisted Insights and Analytics team of a Fortune 130 US Foodservice distributor (B2B)
• Reduced supply chain cost by USD 3M for client by optimizing warehouse-store network to realign 28% of customers based on demand fulfillment & optimum storage utilization
• Segmented customers on the basis of their purchase behavior, thereby helping client design relevant marketing campaigns that improved customer retention by 15%
• Increased customer stickiness by providing recommendations for product category with most (32%, ~USD 7.5BN) sales, and targeting 20% of the customers contributing to 75% sales
• Reduced annual operations cost by USD 19M by identifying top 6 divisions contributing to 23% of annual product wastage (~USD 47.6M) and showcasing opportunities to minimize wastage

May 2014 – Jul 2014 · 2 mos · Mumbai, Maharashtra, India · On-site

• Collaborated with 40+ interns to analyze fertilizer production, marketing, and sales processes.
• Studied 15+ hours of industry best practices and Ammonia plant design.
• Completed detailed equipment compliance checks to ensure quality standards were met.