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Hello! I'm Thomas Gence, a Master's candidate in Computer Science at ETH Zürich, focusing on Machine Intelligence and Data Management. I design modular software for data processing, analytics, and visualization, with hands-on experience in football analytics and simulation-based decision support. I enjoy turning complex data into actionable insights, collaborating across disciplines, and building scalable tools. In my spare time I contribute to open-source projects and explore new ML techniques.…Hello! I'm Thomas Gence, a Master's candidate in Computer Science at ETH Zürich, focusing on Machine Intelligence and Data Management. I design modular software for data processing, analytics, and visualization, with hands-on experience in football analytics and simulation-based decision support. I enjoy turning complex data into actionable insights, collaborating across disciplines, and building scalable tools. In my spare time I contribute to open-source projects and explore new ML techniques.

Thomas Gence

Data Scientist, Full Stack Developer, Back-End Developer, +6

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Hello! I'm Thomas Gence, a Master's candidate in Computer Science at ETH Zürich, focusing on Machine Intelligence and Data Management. I design modular software for data processing, analytics, and visualization, with hands-on experience in football analytics and simulation-based decision support. I enjoy turning complex data into actionable insights, collaborating across disciplines, and building scalable tools. In my spare time I contribute to open-source projects and explore new ML techniques.…Hello! I'm Thomas Gence, a Master's candidate in Computer Science at ETH Zürich, focusing on Machine Intelligence and Data Management. I design modular software for data processing, analytics, and visualization, with hands-on experience in football analytics and simulation-based decision support. I enjoy turning complex data into actionable insights, collaborating across disciplines, and building scalable tools. In my spare time I contribute to open-source projects and explore new ML techniques.

Available to hire

Hello! I’m Thomas Gence, a Master’s candidate in Computer Science at ETH Zürich, focusing on Machine Intelligence and Data Management. I design modular software for data processing, analytics, and visualization, with hands-on experience in football analytics and simulation-based decision support.

I enjoy turning complex data into actionable insights, collaborating across disciplines, and building scalable tools. In my spare time I contribute to open-source projects and explore new ML techniques.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

French

Fluent

English

Fluent

German

Intermediate

Spanish; Castilian

Intermediate

Work Experience

Graduate Researcher at Social Networks Lab, ETH Zurich

January 1, 2025 - Present

Designed and implemented a modular Python-based software system for football analytics, combining backend data processing pipelines with an interactive user interface. The application processes large-scale tracking and event data, supports dynamic tactical visualisation, and includes a simulation module for scenario exploration and decision support.

Data Scientist Intern at Sulzer

January 1, 2022 - December 31, 2022

Developed data-driven anomaly detection pipelines in Python for large-scale industrial sensor and time-series data. Implemented data preprocessing, validation, and analysis workflows to support system monitoring, reliability analysis, and production data quality.

Recycling Worker at Lopatex

January 1, 2019 - December 31, 2019

Processed and destroyed confidential documents and digital media.

Volunteer at Schweizer Tafel

January 1, 2016 - December 31, 2016

Assisted with food collection and redistribution for people in need.

Graduate Researcher at Social Networks Lab, ETH Zürich

January 1, 2025 - Present