Andrew Jarman
Data Scientist
Stony Stratford, England, United Kingdom
Summary
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RockstarAndrew Jarman is a Data Scientist with nine years' experience specializing in retail energy trading, pricing, hedging and risk management, based in Stony Stratford, UK. He combines strong analytics and model development skills with a practical focus on deployment and integration, aiming to deliver data products that generate measurable business impact. Passionate about environmental outcomes, he actively applies data, technology and AI to climate and energy challenges. An open-source contributor, he expanded pycaret’s time-series forecasting capabilities by implementing the Croston model and providing documentation and examples, showing attention to reproducible tooling. Known for bridging domain expertise and production-ready engineering, he is equally comfortable in research, code and applied business contexts.
9 years of coding experience
Github Skills (10)
machine-learning10
time-series10
pycaret10
python10
data-science10
scikit-learn9
scikit9
regression8
anomaly-detection8
clustering7
Programming languages (3)
Github contributions (5)
pycaret/pycaret
Dec 2021 - Dec 2022
An open-source, low-code machine learning library in Python
Role in this project:
Data Scientist
Data ScientistContributions:15 reviews, 56 commits, 9 PRs in 1 year
Contributions summary:Andrew contributed to the implementation of the Croston model within the `pycaret` time series library. Their work involved defining the model's parameters, tuning grid, and distributions. The user also added initial documentation and example notebook for using the implemented Croston model within the pycaret framework. These changes suggest the user is focused on expanding the library's time series forecasting capabilities.
pythonpycarettime-seriesclassificationdata-science
SNEE-ICS/PrimaryCareDemandAndCapacity
Nov 2023 - Mar 2025
Discrete event simulation model for primary care demand and capacity planning, initially in SNEE
Contributions:32 reviews, 127 PRs, 174 pushes in 1 year 3 months
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