Adept in leveraging advanced analytics and quality assurance expertise, I led Ford Motor Private Limited's team to pioneer predictive emission analytics and enhance product decisions using connected vehicle data. With a proven track record at Mahindra & Mahindra in improving product quality and performance, my proficiency in Python and Six Sigma tools drives significant industry advancements.
- Developed a framework utilizing Large Language Models (LLM) to optimize vehicle features and design.
- Collaborated with the Global Total Cost team to develop RAG models, generating insights from historical benchmark studies.
Established a methodology that empowers buyers in negotiations by analyzing price gaps with competitors to reduce material costs.
- Pioneered a vision to integrate AI for enriching, evaluating, and enhancing an efficient cost-reduction ideas system.
Directed an analytics team in developing solutions for automotive component Product Development.
- Leveraged Connected Vehicle data to optimize features, design, and test specifications, saving $200 million
- Created a tool to analyze customer vehicle usage and refueling habits, guiding range target decisions for both ICE and electric vehicles.
- Developed the Predictive Emission Analytics System to detect defeat devices in diesel vehicles
- Created a methodology for intelligent sampling of Connected Vehicle Systems
- Facilitated flawless launches by overseeing APQP deliverables, capacity planning and verification.
- Spearheaded development of 30+ vehicle underbody systems for high-profile Ford projects in Indian and European markets.
- Localized manufacturing of brake and clutch pedals, and delivered $3M cost savings.