Robert Gottesman
Rancho Palos Verdes, California, United States
Summary
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SeniorRobert Gottesman is a machine learning engineer with nine years of experience applying advanced analytics to high-stakes energy and media problems, currently building ML systems at Apple. He combines a physics background from Reed College with hands-on big-data expertise—pyspark, cloud-scale pipelines, and models trained on billions of observations—to produce precise viewership estimates and robust forecasts. His work history includes senior data science roles at Nielsen and research-driven consulting at McCullough Research, where he applied survival analysis, HMM ensembles, and remote sensing to energy policy and market forecasting. He’s advised First Nation tribes on natural gas investments and supported legal defense teams in multimillion-dollar energy disputes, illustrating an uncommon blend of technical rigor and policy-level impact. While now focused on scalable ML infrastructure and measurement at a top-tier tech company, he retains deep domain knowledge in energy markets and regulatory economics.
9 years of coding experience
Github Skills (48)
fitness10
garmin10
health10
qt10
python10
gui-programming10
confluence10
bamboo10
atlassian10
crowd10
pysimplegui10
wxpython10
qt-gui10
tkinter10
wrapper10
Programming languages (4)
Github contributions (5)
bobgott/hello-worlds
Jun 2017 - May 2019
Contributions:1 release, 10 PRs, 27 pushes in 1 year 11 months
experimentinghello-world-github
RESOStandards/RESO-WebAPI-Client-Python
Aug 2018 - Aug 2019
RESO Web API Open Source Client written in Python.
Contributions:12 commits, 1 PR, 8 pushes in 1 year
pythonup-for-adoptionweb-api
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