Jing Cao
Machine Learning Engineer at Goodwater
San Francisco, California
Overview
Work Experience
Machine Learning Engineer
2024 - Current
Data Scientist
2022 - 2024
Goodwater Genesis seeks out exceptional entrepreneurs and helps them cultivate the success they deserve.
Data Scientist
2020 - 2022
Alto is a digital pharmacy that makes the prescription experience easier.
Raised $680,030,000.00 from What If Ventures, FJ Labs and Anchor Capital GP.
Data Scientist
2019 - 2020
- Led model development to rank leads based on location and likelihood of success with cross-functional working group - Defined, built and maintained multiple model/data ETL pipelines using Apache Airflow including: geocode and calculate scores for leads, data enrichment tracking, data exporting, and high volume data importing - Designed and evaluated product experiments including: host onboarding, photographer marketing program, camper review flow etc. using Bayesian methods - Contributed to data platform by improving pipeline efficiency to provide analysts and team leads more reliable data support
Data Scientist
2017 - 2018
- Designed and evaluated experiments to test trucking app features including: in-app referrals, optimizing notification frequency, and setting flexible shipment appointments - Led analysis on user acquisition channels and onboarding conversion to inform business decisions on carrier acquisition and marketing channels - Created and maintained ETL pipelines using DBT and Airflow to warehouse data on AWS - Built logistic regression model to predict app assisted shipment acceptance - Defined product metrics and built data visualization to monitor carrier facing product performance and user engagement - Mentored junior analysts on experimental design and SQL dashboarding
Quantitative Researcher
2016 - 2017
- Processed satellite imagery data and spatial temporal field yield data using Python - Used k-means clustering algorithm to give recommendations on filed zoning and seed selections to optimize yield - Validated, cleaned and ingested new datasets to improve yield optimization models - Partnered with engineers and product managers to productionize the field zoning research
Data Analyst
2015 - 2016
- Implemented Bayesian hierarchical model using research harvest data to recommend planting density given grower’s target yield - Reduced Bayesian sampling computation time by 30% using RStan - Acquired new field research data and ensured data quality by conducting exploratory data analysis
Graduate Student Researcher
2014 - 2015
Space-Time Modeling Group (joint with UC Irvine)
Graduate Student Teaching Assistant
2014 - 2014