1. Driving vision, strategic planning, and product roadmap for data, analytics, and AI/ML with a team of 40+ product managers, data scientists, data engineers, MLOps engineers, and software engineers2. Scaling the development and deployment of the “Market Intelligence Platform” as a global enterprise solution for both Ford Blue and Model e, for decisions involving production volume and mix optimization, global and regional allocation and distribution, price and variable marketing optimization, and other yield optimizations (e.g., fixed marketing, private offers, etc.)3. Providing advanced analytics support to deliver high-impact (MM+) yield opportunities

1. Led the development and deployment of “Market Intelligence Platform” 2. Supported yield opportunities to drive sustainable growth of EV business and integrate advanced analytics into decision-making processes.3. Built a lean advanced analytics team (10+ members) from the ground up with diverse skillsets including data scientists, data engineers, MLOps engineers, and software engineers

1. Successfully led key AI deliverables (Provider Education, Compliance Audit, and pre & post Payment Integrity) towards securing a $20M series B funding2. Reporting directly to the CEO, managed P&L reporting, strategic planning, and the company roadmap3. Oversaw budgeting and hiring plans for our data science team4. Built a 15+ member team across product engineering, R&D, and analytics to develop a unified SaaS solution for healthcare cost containment

1. Spearheaded advanced analytics projects with a significant annual valuation of USD 7 – 10 million in finance, supply chain, and recycling 2. Led a dedicated six-person team of CoE data scientists, steering the development of an in-house data science platform3. Mentored aspiring data scientists and ML practitioners across various verticals

1. Led modeling and support operations for Consumer Goods and Services vertical2. Created predictive models for market segmentation, dynamic pricing, and price portfolio optimization for a leading Automotive Parts OEM 3. Led a strategic initiative towards productizing analytics algorithms that improved project delivery efficiency by more than 35% across consulting teams

1. Designed semi-supervised algorithms for geo-fencing IoT devices 2. Created an optimization tool for indoor sensor placement 3. Led a data science research sprint, instrumental in the company's successful Series B fundraising