- Leading a group of software engineers, ML Engineers, and Data scientists to deliver best personalized streaming app experiences for Hulu guests

- Spearheaded a data science team to provide real-time recommendations catering large audiences' personalized interests in rapidly changing sport topics in ESPN web/mobile app- Designed and deployed key personalization ML algorithms increasing the user clicks by 25%

- Led a team of data scientists to design/prototype/productionize multiple ML solutions such as time-series prediction, asset condition prediction, customer analytics, and spearheaded business engagement to formulate solutions for business outcome and present data science analysis results.- Developed several successful ML models for condition based asset maintenance for key utility assets.- Built foundational functionalities for Distributed Resource Planning (Customer-sited green energy planning) by developing time-series forecast models for electricity consumption, electric-vehicle charging, and solar generation.- Reduced customer friction by replacing human outage duration estimation with ML model based estimation.- Performed advanced customer insight projects such as propensity model, customer segmentation, behavior prediction for targeted marketing & customer engagement.- Strong focus on business result and automation of ML models by applying best practices for end-to-end ML products.- Enhanced productivity of the data science team by developing in-house python libraries and toolsets for standardized code development. - Closely worked with business teams to define and design ML projects and development plans and helped them to track outcomes of the projects

• Built metrics and monitoring systems to identify issues from semiconductor manufacturing equipment; Resulted in significant contribution to manufacturing yield improvement. (five times corporation awarded)• Deployed machine learning algorithms to eliminate false signals in manufacturing process, resulting in more than 50% visibility improvement of the issues on the process• Developed image process engine to extract features to be fed into ML models to reduce false signal • Provided data-driven strategies to identify and root cause uncontrolled process issues with statistical analysis on equipment and wafer data