Pedro O. Email & Phone Number

San Francisco, Ca, Us

San Francisco, Us

Member of the founding team. Developing AI tools for Data Science and Machine Learning.

Philadelphia, Pa, Us

- Built a new Data Science team from the ground up, hiring top talent focused on machine learning, pricing and optimization. - Developed vision for trip pricing and dispatch optimization, jointly reducing the cost of delivery by more than 40%. - Led machine learning initiatives for ETA prediction, substantially improving accuracy and narrowing the range shown to customers. - Cross functional lead of the delivery team responsible for the team roadmap together with Product and Engineering.- Received the 2022 Engineer of the Year Award for outsized impact across all engineering teams.

San Francisco, California, Us

- Led the Applied Science team building ML/AI algorithms for rider pricing.- Developed a cohesive vision for the team and spearheaded projects that reshaped Uber's pricing systems, obtaining buy-in from product and engineering, and leading this cross functional effort.- Projects involved creating the first deep learning causal machine learning model for pricing, changing experimentation approaches around pricing, and infrastructure to enhance data quality for model training, model evaluation, and developing online algorithms that improved pricing robustness to data drifts while reducing manual intervention from operations teams.- These efforts influenced both model performance and company strategy, as the ML/AI approach provided much more granular insights into rider reactions to price changes.Previous roles: Senior Applied Scientist (Sep 2018 - Mar 2019)

Palo Alto, California, Us

- Led the development of statistical and machine learning algorithms for Wealthfront’s financial planning experience (Path).- Collaborated closely with product, engineering and design to create a delightful experience for users.- Won the 2018 Wealthfront Hackathon by integrating a feature that allowed customers to calculate how much they would need to retire today, which is still live in the app currently.Previous roles: Senior Data Scientist (Jan 2017 - Dec 2017), Data Scientist (Jun 2016 - Dec 2016)

Princeton, Nj, Us

Cambridge, Massachusetts, Us

Brazil, Br

New York, Ny, Us

Developed statistical methods for inflation forecasting, leading JP Morgan to be consistently within the top 5 best forecasts across all banking institutions in Brazil.

Doctor Of Philosophy (Ph.D.), Economics

Master’S Degree, Economics

Master’S Degree, Economics

Bachelor’S Degree, Economics