Asmita Lawale

Pricing Analytics Consultant - Packaged Goods (PepsiCo, UK)

• Analyzed pricing strategies and competitor impact on product elasticity
• Developed price recommendations to enhance sales and profitability
• Created an interactive simulator for pricing, sales, and profit optimization

Market Mix Modeling Specialist - PepsiCo, Europe

• Developed and maintained ROI engine for Growth Divider Models across EU
• Utilized MMM techniques to track ROIs for products and subproducts, facilitating informed spending decisions.

Fuel Pricing Strategist - Shell, India

• Developed fuel pricing strategy for deregulated Mexico market to optimize volumes and profits
• Analyzed historical data, competition, and external factors to inform pricing decisions

Call Volume Forecasting Analyst - ESPN+

• Developed hybrid Time Series and Predictive models
• Reduced abandon rates and optimized workforce allocation
• Validated models with real-time data to improve accuracy
• Applied text mining on chat data to enhance model precision

Call Volume Forecasting Analyst - CBS

• Utilized Time Series forecasting to reduce abandon rates and optimize workforce
• Validated models with real-time data to enhance accuracy

Customer Retention Analyst - AT&T

• Conducted customer feedback analysis
• Applied topic modeling and sentiment analysis to enhance insights
• Implemented strategies to increase customer retention and optimize customer service

Claim Amount Forecasting Analyst - Pharma Domain

• Conducted Time Series Forecasting for claim and recovery amounts across 150+ clinic and payer combination

Profit Maximization by Demand-Supply Management & Inventory Optimization

• Conducted market research on Glenmark SKUs to prioritize products and assess business scenarios
• Forecasted demand for SKUs for the upcoming year
• Adjusted safety stock levels and optimized service levels for Glenmark SKUs

Statistical Forecasting of Month End Sales

• Analyzed sales flow chart (primary, secondary, tertiary) from manufacturer to market, focusing on Primary Sales
• Identified factors influencing Primary Sales and forecasted month end sales based on current trajectory
• Developed dashboards for visualizing and understanding forecasted Daily Primary Sales