Anastasia Bizyayeva
Director Of Earth Analytics at Sylvera
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAnastasia Bizyayeva is Director of Earth Analytics at Sylvera, combining a background in philosophy of mind and cognitive science with five years of hands-on engineering to turn complex Earth observation data into defensible, production-grade geospatial products for climate and carbon markets. She leads technical strategy and cross-functional delivery—spanning biomass, forecasting, and carbon analytics—while establishing validation, explainability, and data product standards that drive external trust. Equally at home designing cloud-native, event-driven data platforms and doing customer discovery, she prioritises pragmatic, incremental shipping and measurable impact over perfectionism. Her career blends policy-minded roles (UN data scraping for regional monitoring) with startup leadership and platform engineering, evidencing an ability to translate messy real-world signals into reliable systems. A chronic tinkerer and long-time D&D player, she pairs intellectual curiosity with a track record of building teams and tools that scale.
5 years of coding experience
10 years of employment as a software developer
Master of Science - MS Philosophy of Mind and Cognitive Science, Master of Science - MS Philosophy of Mind and Cognitive Science at The University of EdinburghBachelor of Arts - BA Philosophy, Bachelor of Arts - BA Philosophy at University of TorontoUniversity College London
English, Ukrainian, Russian, French
Github Skills (3)
medical2
machine-learning1
python1
Programming languages (3)
Github contributions (5)
anastasiabizyayeva/Bias_Behind_Bars
Nov 2020 - Dec 2020
An exploration of the Globe & Mail's investigation into racial bias in the Canadian prison system
Contributions:4 PRs, 44 pushes, 3 branches in 1 month
globeinvestigationmailprisonbias
anastasiabizyayeva/Medical_Appointment_No_Shows
Oct 2020 - Oct 2020
Repo for the 'Medical Appointment No Shows' predictions
Contributions:16 PRs, 30 pushes, 4 branches in 6 days
pythonmachine-learningmedicalpredictions
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