Gowtham Suresh

Machine Learning Engineering - Ads Marketplace @ Instacart

Country

United States

City

San Francisco Bay Area

Industry

Computer Software

Skill

Causal Inference, Online Marketplace, A/B Testing, Dynamic Pricing, Leadership, Recommender Systems, Experimental Analysis, Natural Language Processing (NLP), Search, Machine Learning, Predictive Analytics, Data Mining, R, Matlab, Java, Operations Research, Statistics, Hadoop, Game Theory, Data Science

Experience

Machine Learning Engineering - Ads Marketplace

Instacart

2025-4 - Present · 1 yr 6 mos

San Francisco Bay Area

Tech Lead for the Ads Marketplace team, driving strategy and execution across Ads Ranking, Auction Design, Joint Ads–Organic Ranking, and Carrot Ads. Partner closely with Product, Data Science, and Infra teams to improve marketplace efficiency, advertiser RoAS, and user engagement at scale.

Scientist - Ads Quality

DoorDash

2024-3 - 2025-4 · 1 yr 2 mos

Ads ranking, relevance, auction design and bidding for CPG brands

Scientist - Ranking & Recommendations

Uber

2022-6 - 2024-3 · 1 yr 10 mos

San Francisco Bay Area

Tech Lead for Discovery Team @ Uber Freight. Developing ML algorithms for search ranking and recommendations. Uber Freight became a separate entity from Uber in Jan 2023.

Machine Learning & Data Science Manager - Pricing & Personalization

Travel + Leisure Co.

2019-9 - 2022-6 · 2 yrs 10 mos

Greater New York City Area

Leading a team of Data Scientists working on ML models in pricing, search, recommendations and optimization

Senior Machine Learning Scientist / Data Scientist

Travel + Leisure Co.

2018-8 - 2019-8 · 1 yr 1 mo

Greater New York City Area

Machine Learning Scientist / Data Scientist

Travel + Leisure Co.

2017-2 - 2018-7 · 1 yr 6 mos

Greater New York City Area

Software Engineer - Machine Learning

CMC LTD

2013-7 - 2015-5 · 1 yr 11 mos

Hyderabad Area, India

• Analyzed large data sets in the Healthcare Domain to derive actionable insights using data mining and machine learning algorithms. • Implemented machine learning models to improve patient outcomes and optimize healthcare processes. • Collaborated with cross-functional teams to develop innovative solutions for healthcare challenges.