Alexander Dokumentov
Data Scientist
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolAlexander Dokumentov is a Melbourne-based Data Scientist with nine years of industry and research experience, blending a PhD in Mathematics and Statistics from Monash with a Master's from Lomonosov MSU. He has delivered forecasting and advanced analytics across academia, retail (Coles Group), finance (ANZ consulting, Market Beacon), and industry consultancy, applying rigorous statistical methods to production problems. Comfortable moving between research and applied work, he has a track record of turning academic models into operational forecasting solutions and quantitative trading signal analyses. His background as a software developer early in his career gives him strong engineering discipline for reproducible, production-ready data systems. Known for tackling noisy, real-world data, he brings both deep probabilistic modelling skills and pragmatic product-focused delivery.
9 years of coding experience
19 years of employment as a software developer
Lomonosov Moscow State UniversityDoctor of Philosophy (PhD), Mathematics and Statistics, Doctor of Philosophy (PhD), Mathematics and Statistics at Monash University
Github Skills (9)
r-package8
exponential8
smoothing7
bayesian7
exponential-smoothing4
decomposition2
regression1
machine-learning1
trend1
Programming languages (2)
Github contributions (5)
cran/stR
Aug 2016 - Feb 2022
Contributions:5 commits in 5 years 6 months
dokal01/test
Jun 2016 - Jun 2016
Contributions:2 pushes in 1 day
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