Zak Watts
Data Science And Solutions Associate
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolZak Watts is a data scientist and solutions lead who turns satellite imagery and weather data into trading-grade forecasting products for energy markets. At Open Climate Fix he builds and launches ML forecasting tools, runs high-value POCs with global energy majors, and has driven multi‑million‑pound system savings through improved reserve forecasting. He combines hands-on model development and on-call production support with commercial skills—closing deals, implementing CRM-led go-to-market operations, and expanding the business into Europe. Founder of SunsetMap, he also applies geospatial terrain analysis to consumer-facing tools, showing a knack for shipping polished products outside core domain work. A former researcher and startup operator with a Physics MSci, Zak mixes rigorous quantitative methods with practical product delivery and a curiosity that often turns side projects into useful innovations.
4 years of coding experience
7 years of employment as a software developer
The Beaconsfield SchoolJohn Hampden Grammar SchoolMsci, Physics, Msci, Physics at University of Bristol
Github Skills (47)
dbml10
pyproject-toml9
napalm9
solar9
photovoltaic9
streamlit8
react8
hosting8
api8
renewable-energy8
statistics8
power-systems8
tosca7
infrastructure7
machine-learning7
Programming languages (4)
Github contributions (5)
openclimatefix-archives/gfs-downloader
Apr 2023 - Jun 2023
NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive: https://rda.ucar.edu/datasets/ds084.1/
Contributions:4 reviews, 70 PRs, 101 pushes in 2 months
gfs
openclimatefix/forecast-data-prep
Sep 2024 - Sep 2025
Handles the processing of Numerical Weather Prediction (NWP), satellite, and PV data into the correct format for machine learning tasks. It also handles efficient data transfer to Google Cloud Storage and disk preparation for use in cloud environments.
Contributions:1 review, 7 PRs, 31 pushes in 1 year
google-cloud-storagemachine-learning
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