Surya Kocherlakota
Head Of Data Science
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSurya Kocherlakota is Head of Data Science at CricViz, leading analytics across performance, broadcast, and media with six years of industry experience. He combines sports-focused product science and ML engineering, having driven player recruitment strategy for the Rajasthan Royals during a period that included a finals appearance and strong league performance. His background spans applied AI in healthcare forecasting for the NHS and embedded ML optimization taught at Oxford, reflecting a mix of high-impact product work and technical depth. Trained in Electrical and Electronics Engineering at Imperial College London, he is comfortable from microcontrollers and IMU data collection to large-scale analytics pipelines. Surya brings a practical, results-oriented approach to modeling and productization, often translating complex models into decisions that win matches and inform broadcasters. He is based in London and known for bridging research, engineering and domain expertise in cricket analytics.
6 years of coding experience
6 years of employment as a software developer
Master’s Degree, Electrical and Electronics Engineering, Master’s Degree, Electrical and Electronics Engineering at Imperial College LondonBritish Physics Olympiad: Silver award (Top 200 students in UK)
UKMT Senior Maths Challenge: Gold award (Top 10% in UK), British Physics Olympiad: Silver award (Top 200 students in UK)
UKMT Senior Maths Challenge: Gold award (Top 10% in UK) at Sutton Grammar School
Telugu, English
Github Skills (29)
jupyter9
holoviews9
plotly9
holoviz9
hvplot8
matplotlib8
bokeh8
metadata7
python7
data-exploration6
operation6
observation4
data-science4
analytics4
scheduler4
Programming languages (2)
Github contributions (5)
suryako/FoT-Liverpool-Analytics-Surya
Jun 2020 - Jul 2020
Code for visualisations in my winning entry to the Liverpool Analytics Challenge by Friends of Tracking
Contributions:5 commits, 2 pushes in 10 days
visualizations
suryako/balaban
Dec 2020 - Dec 2020
A small Python package for estimating & plotting Bayesian hierarchical models for player-level football data
Contributions:2 pushes, 1 branch in 1 day
playerstatisticspythonfootballestimating
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