Ravit Shrivastav

AI Researcher

San Francisco, California, United States10 yrs 4 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Data Science and Product Management expert in the Transportation industry.

Product ManagementMachine Learning

PlanningExperimentationA/B TestingProduct DevelopmentData AnalysisProgrammingAnalyticsAlgorithmsStatisticsPythonCRMatlabHTMLCSS

Passionate about the intersection of products and businesses with data science and functional design.

10 yrs 4 mos

Total Experience

3 yrs 1 mo

Average Tenure

1 yr

Current Experience

May 2025 – Present · 1 yr · San Francisco, California, United States

Jan 2024 – Jun 2025 · 1 yr 5 mos · San Francisco, California, United States

3 roles

Jan 2021 – Jan 2023 · 2 yrs

Building tech to improve driver onboarding and solve user issues around fare reviews, cancellations, and lost items.

Product ManagementPlanning

Promoted

Jan 2018 – Jan 2021 · 3 yrs

I transitioned to our Data Science team in the Customer Obsession org.
My work mostly included improving models for Rider Cancelation and Fare-related issues.

ExperimentationMachine Learning

Jan 2017 – Jan 2018 · 1 yr

The PRO team was a global team at early Uber that built analytics solutions for operations team around the globe during the massive international growth phase.
I worked on pricing models for Pool and the premium segment introduction of "Premier" in South Asia.
My work included running inference analysis and experiments to drive the optimal balance between rider and driver discounts (growth) and platform profitability.

Jan 2015 – Jan 2017 · 2 yrs · New Delhi Area, India

Cube26 was a mobile ad-tech startup based in India — building custom Android OS and first-party apps for the booming Indian local smartphone market. My role primarily involved working with our founding team to build the data and analytics systems.