Toby Coleman
Quantitative Analyst
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolToby Coleman is a quantitative analyst and seasoned data scientist with a decade of experience applying AI and machine learning to energy trading and grid-balancing problems. He combines deep quantitative research from earlier finance roles with hands-on ML engineering—building models, MLOps pipelines, feature stores, and on-device computer vision proofs-of-concept for commercial deployment. Toby has progressed from data scientist to innovation director and consultant, now bringing practical commodity-market insight to Statera Energy. Trained in natural sciences at Cambridge with an MSc in Aeronautics from Imperial, he blends rigorous analytical thinking with pragmatic productisation. Colleagues value his ability to turn complex algorithmic ideas into production-ready systems that materially improve energy flexibility and trading performance.
10 years of coding experience
18 years of employment as a software developer
MSc Aeronautics, MSc Aeronautics at Imperial College LondonBA Natural Sciences, BA Natural Sciences at University of Cambridge
German
Stackoverflow
1,664reputation
269kreached
9answers
14questions
Github Skills (200)
notification-api10
python10
energy10
deep-learning10
fairness-ml10
recall10
validation10
push-notifications10
pushbullet10
notification10
sdk10
pipeline10
azure10
monitor10
gotify10
Programming languages (3)
Github contributions (5)
bytehub-ai/bytehub
Feb 2021 - May 2021
ByteHub: making feature stores simple
Contributions:94 commits, 20 PRs, 58 pushes in 3 months
data-sciencedaskfeature-storedata-integrityprediction-model
toby-coleman/multi-page-dash-template
Oct 2019 - Nov 2021
A template for building interactive dashboards using Plotly Dash
Contributions:14 commits, 4 PRs, 10 pushes in 2 years 1 month
interactive-dashboardsdashdata-sciencedashboardsplotly-dash
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