I am a leader in data science at Cruise, I oversee a dynamic group dedicated to advancing AI and predictive modeling solutions. Our team spans across commercial data science and analytics, focusing on:* Designing predictive performance evaluation of topline KPIs for evaluating new and future markets.* Developing AI-driven tools for scene identification using advanced CLIP models.* Building robust simulation frameworks for evaluating routing, reliability, pickup and drop-off performance, safety and risk exposure.* Working with regulators and external ethics boards for defining best practices for autonomous vehicles.We integrate these expertise areas into every aspect of Cruise's operations, from improving pickup and drop-off experiences to driving technical innovations in autonomous vehicle technology.

As a Tech Lead in Data Science at Cruise, I served as a Subject Matter Expert for our safety methodology and our our dynamic selection of operating zone optimization to support the expansion of our driverless operating domain.

Architecting analytics and metrics tracking to define strategy for the Technical Product Management organization and modeling of safety and reliability metrics.

Spearheaded data science projects that improve the customer experience of Oracle Financials Cloud products. Lead New Products team in Oracle Fusion Financials. The team comprised of data scientists, software engineers, and a product manager.

Built a high-speed desktop trading application using React, Node.js, socket.io, and d3.js. Built the tool to manipulate, filter and visualize real-time stock ticker data for traders so that traders could have full control to customize the data they're interested in analyzing.

Redesigned the Dragon Spacecraft Production floor by developing a Python algorithm that minimized worker inefficiencies, unnecessary movements, and handled scheduling for prioritized tools. The goal was to provide SpaceX with the to manufacture six Dragons in one year.

Data analysis in Climate Science and Modeling Lab