Neha Patil

Managing a high-performing team of 8 data scientists, driving ML/AI initiatives across marketing, dealer services, product, and operations in consumer lending; also leading the Analytics L&D initiative across the organization.

• Implemented an internal LLM chat assistant for underwriters to refer policies, cutting decision time; estimated 10%+ incremental annual originations
• Led cross-functional initiative of to develop and deploy loyalty propensity model, boosting marketing leads quality and driving $4MM in annual PTI.
• Developing a dynamic pricing model for returned cars sold via the online channel, leveraging historical sales data and market trends; estimated benefit of $18MM
• Built persona-driven segmentation and A/B testing framework for EV campaigns, improving campaign conversion rates by relative 12%.
• Driving forecasting of partner booking rates using clustering-regression model to optimize pricing and achieve volume; predict with only ~4% error rate
• Implemented a full-funnel attribution model to track the customer journey and evaluate the performance of 30+ marketing campaigns
• Analyzed call center data to recommend optimal staffing levels and volume penetration strategies, that could recover of 10-15% of losses
• Revamped pre-screen strategy for existing card customers and optimized pricing which increased revenue by $5MM over 3 years
• Created a dynamic utility tool to monitor volume trends and performance of high-risk segments, optimizing pricing for losses during COVID, and won the Best Analytical Tool for Innovation award
• Researched and analyzed non-traditional data to identify 4 key variables differentiating portfolio performance.

My career has progressed in the organization from supporting business projects using analytical skills to driving new ML/AI initiatives that add value to the business objectives.

Small Merchant Lending - Risk and Acquisitions

• Developed a sales prioritization model that identified high-value prospects, boosting sales force effectiveness by 80%
• Led process design and modeling to optimize customer contact selection, reducing marketing costs by 70% through data-driven targeting strategies

Pharmaceutical- Sales Analytics

• Automated call plan for potential product to maximize sales coverage in US healthcare market, 15% higher sales than projected.