I work on the Lyft Rider App request flow from app open to when the rider is picked up. Key focus areas:- Product differentiation which generates dynamic offers based on different prices, costs and pickup times and rider preferences. This includes offerings such as Priority Pickup, Shared rides and Wait and Save- Recommendations based on rider preference and business objectives given the above mentioned offers including dynamic cross-sells based on time and cost savings

Interim product manager for the Purchase Flow team: made several improvements to recommendation algorithms

Developed models to estimate price elasticity at a route level

- For CS 7641, the graduate Machine Learning course

- Worked on Language Modeling in the Alexa Science team- Project on domain adaptation of language models

- Worked on volume estimation using depth images from Kinect for medical imaging using convolutional neural networks

Engagements: - Overhauled inbound supply chain for leading alcohol manufacturer - On behalf of leading energy player, proposed public policy to encourage private investment in railways for coal traffic - For a leading telecom operator, identified measures to optimize electricity and fuel expenditure at towers