Austin Haffenden
Director at Schneider Electric
Salford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAustin Haffenden is a data science director with nine years of experience applying machine learning and analytics to energy time-series and NLP problems, currently consulting for Schneider Electric and leading Good With Data CIC. He blends a strong academic background—a PhD in Computational Ecology—with hands-on production work, shipping proprietary algorithms for power forecasting and building generative-AI tools for the non-profit sector. His career bridges environmental science, teaching, and software: from coupling forest and rockfall models in Python and R to designing scalable data products for enterprise energy software. Based in Salford, he combines domain expertise in ecology and climate with practical engineering skills (R, Python, C++/Rcpp), and a knack for translating research-grade models into operational solutions that reduce workload for front-line workers.
9 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Environmental Forestry, Master of Science (MSc), Environmental Forestry at Bangor UniversityPostgraduate certificate, Teaching and Learning in Higher Education, Pass, Postgraduate certificate, Teaching and Learning in Higher Education, Pass at Keele UniversityBachelor's degree (BSc Hons.), Computer Science, 2.1, Bachelor's degree (BSc Hons.), Computer Science, 2.1 at The University of Hull
French, English
Github Skills (14)
forex-trading7
forex7
cryptocurrency6
finance6
backtesting-trading-strategies6
trading6
trading-systems5
trading-bot5
python5
trading-algorithms5
quantitative-trading4
algorithmic-trading4
quantitative-finance4
backtesting4
Programming languages (1)
Github contributions (4)
haffamoto/qsforex
Jul 2016 - Oct 2016
Contributions:14 pushes in 2 months
stock-marketforexpythonalgorithmic-tradingtrading-bot
aushaff/krakenTools
Oct 2017 - Apr 2018
Contributions:13 commits in 6 months
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