Michael Stevens
Data Analyst
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMichael Stevens is a data analyst with nine years of experience who leverages a PhD in Methods in Ecology and Disease and strong mathematical foundations to turn complex, cross-disciplinary problems into actionable insights. He has applied machine learning and spatial modelling across biology, epidemiology, criminology and telecoms, and delivered user-friendly R-based tools and tutorials that have been used in international workshops. Comfortable in fast-paced, collaborative settings, Michael has honed his skills through hackathons, industry roles at SamKnows and ThousandEyes (Cisco), and a Turing Institute data study group for customer segmentation. He combines production-focused data analysis with academic rigor, and has a niche interest in creating open-source utilities for cultural data like Spotify visualisations inspired by last.fm.
9 years of coding experience
2 years of employment as a software developer
Master of Science (MSci), Mathematics, 1st, Master of Science (MSci), Mathematics, 1st at Royal Holloway, University of LondonDoctor of Philosophy - PhD, Methods in Ecology and Disease, Doctor of Philosophy - PhD, Methods in Ecology and Disease at Queen Mary University of London
Github Skills (13)
profiling7
geographic7
mixture-model6
pty3
platformio3
r3
iterm3
console2
cmd2
tty2
xterm2
powershell2
ide1
Programming languages (2)
Github contributions (5)
Michael-Stevens-27/silverblaze
Mar 2018 - May 2021
A finite mixture geographic profiling model for count, prevalence and point pattern data
Contributions:1 release, 206 commits, 37 PRs in 3 years 2 months
profiling
Michael-Stevens-27/PAexhaustive
Jun 2017 - May 2019
Contributions:25 commits, 2 PRs, 55 pushes in 1 year 10 months
methodprofilingabsencegeographic
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