Shan Huang - Data Scientist

Shan Huang

Data Scientist

Helsinki, Finland

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Summary

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Senior

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Top School

Shan Huang is a data scientist with 13 years of international experience building experimentation platforms and MLOps-driven product analytics across gaming and e-commerce, currently at Supercell in Helsinki. He combines hands-on machine learning, causal inference and data engineering to turn short-term A/B tests into long-term business impact, having led an MLOps team and operationalised predictive frameworks used by executives at Zalando. At Supercell he scaled experimentation culture, built the company’s experimentation platform, and owned end-to-end data life cycles for live games and early tests. His background spans research (Bayesian decision theory, Gaussian processes), software engineering, and even game programming, reflecting a rare mix of rigorous academic training and product-focused execution. Fluent in cross-cultural environments from Germany and China to Finland, he brings entrepreneurial ownership and a proven track record of shipping analytics systems that inform strategic product decisions.

12 years of coding experience

11 years of employment as a software developer

Master of Science (M.Sc.), Computer Science, 1.1 (Ausgezeichnet), Master of Science (M.Sc.), Computer Science, 1.1 (Ausgezeichnet) at Rheinische Friedrich-Wilhelms-Universität Bonn

Non-degree program, Creative Writing, Non-degree program, Creative Writing at Fudan University

Diploma-Engineer (Diplom-Ingenieur), Electrical Engineering (Dual Degree), Diploma-Engineer (Diplom-Ingenieur), Electrical Engineering (Dual Degree) at Technische Hochschule Lübeck

Bachelor of Engineering (B.Eng.), Electrical Engineering (Dual Degree), Bachelor of Engineering (B.Eng.), Electrical Engineering (Dual Degree) at East China University of Science and Technology

Chinese, English, German, Russian, Finnish

Github Skills (39)

python10

classification10

causal-inference10

gaussian-processes10

regression10

gaussian10

principal-component-analysis10

abtest10

monitoring9

ab-testing9

hypothesis-testing9

machine-learning9

statistics9

data-visualization8

elasticsearch8

Programming languages (5)

TypeScriptGoHTMLJupyter NotebookPython

Github contributions (5)

marionmari/pyGPs

Sep 2013 - May 2017

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

Contributions:3 releases, 152 commits, 5 PRs in 3 years 8 months

regressionpythonprincipal-component-analysispython-implementationmachine-learning

shansfolder/AB-Test-Early-Stopping

May 2017 - Jun 2017

Contributions:54 commits, 37 pushes, 1 branch in 1 month

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