Till Friebe

Data Scientist

https://talent.gravityer.com/till-friebe

Software Engineer and a Founder based in Berlin

Berlin, Berlin, Germany

Key Strengths

Demonstrated proficiency in Python, particularly for data-related tasks (e.g., 'kickercam', 'Cloud-chamber', 'apple-health-to-obsidian').
Experience with Jupyter Notebook, indicating familiarity with data exploration and analysis environments.
Exposure to AI/ML concepts through projects like 'ralph-sentry-fixer' (AI-driven bug fixer) and 'kickercam' (goal detection).
Diverse personal projects showcasing a proactive learning attitude and ability to work with various technologies.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, spanning mobile development (Flutter), desktop utilities (Obsidian plugins), and data-related applications. This breadth indicates adaptability and a willingness to explore different domains. However, the projects are predominantly personal, which might suggest a preference for independent work. While there are projects related to AI/data, the overall portfolio is not exclusively aligned with a senior Data Scientist role, which typically requires more extensive experience in large-scale data pipelines, advanced statistical modeling, or machine learning engineering in a team context. The 'experienceLevel' is 0, which further suggests a potential mismatch for a senior role without more substantial professional experience.

Soft Skills & Operational Fit

The candidate's personal projects demonstrate initiative and a self-starter attitude. The descriptions are concise, but without direct interaction or psychometric test results, it's difficult to assess communication, teamwork, or stress handling. The focus on personal projects suggests a drive for independent problem-solving.

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Assessing your cultural and operational fit

Projects

ralph-sentry-fixer

January 14, 2026 – Present

AI-driven Sentry bug fixer using Claude Code

View Project

apple-health-to-obsidian

November 30, 2025 – November 30, 2025

apple-health-to-obsidian — GitHub repository

View Project

obsidian-share-as-zip

October 30, 2024 – June 17, 2025

obsidian-share-as-zip — GitHub repository

View Project

obsidian-file-diff

January 26, 2023 – August 24, 2025

View the difference between two files within Obsidian.

View Project

obsidian-deepl

October 30, 2022 – May 13, 2024

DeepL for Obsidian.

View Project

TubeCards

March 28, 2022 – March 12, 2024

TubeCards - Cross-platform Spaced Repetition App written in Flutter

View Project

flutter-quill

December 14, 2020 – Present

Rich text editor for Flutter

View Project

dachboden

May 14, 2018 – September 4, 2024

lights and stuff

View Project

Cloud-chamber

March 18, 2018 – April 16, 2019

Automatic detection of fog stripes (alpha and beta radiation) in a cloud chamber

View Project

kickercam

October 5, 2017 – March 17, 2022

Foosball (Kicker, Tablesoccer) live camera with goal detection and slow-motion replay

View Project

Key Strengths

Demonstrated proficiency in Python, particularly for data-related tasks (e.g., 'kickercam', 'Cloud-chamber', 'apple-health-to-obsidian').
Experience with Jupyter Notebook, indicating familiarity with data exploration and analysis environments.
Exposure to AI/ML concepts through projects like 'ralph-sentry-fixer' (AI-driven bug fixer) and 'kickercam' (goal detection).
Diverse personal projects showcasing a proactive learning attitude and ability to work with various technologies.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Till Friebe

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit