
Computer Science Master Student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TUB
Data Scientist
June 29, 2026 – Present
llm-heuristic-scientists-workshop
May 17, 2026 – Present
Workshop scaffold: LLMs as heuristic scientists, with a restaurant kitchen scheduling problem.
View ProjectBakeBoost
November 14, 2025 – November 15, 2025
Federated learning platform that lets bakeries collaborate on forecasting sales data
View Projectstreamlit-social-share
August 1, 2025 – August 30, 2025
Streamlit Social Share allows you to add socail share buttons to your app.
View Projectstreamlit-achievements
July 24, 2025 – August 30, 2025
Streamlit Achievements allows you to add achievement pop-ups to your app.
View Projectstreamlit-swipecards
June 10, 2025 – September 2, 2025
Streamlit Swipecards allows you to add interactive swipeable cards to your app.
View Projectmatelda-presentation-bifold-day
April 18, 2025 – August 3, 2025
Presentation of the Matelda Demo for BIFOLD Day 2025
View ProjectMatelda-Demo
March 14, 2025 – September 18, 2025
Matelda, an interactive system for multi-table error detection that combines automated error detection with human-in-the-loop refinement.
View ProjectDBSII_Script
May 18, 2023 – August 3, 2025
Skript zur Vorlesung Datenbanksysteme II | Lecture notes for Database Systems II
View ProjectGDBS_Script
April 21, 2022 – August 3, 2025
Skript zur Vorlesung Grundlagen der Datenbanksysteme | Lecture notes on the fundamentals of database systems
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on data systems and machine learning. The current role as a Data Scientist at TUB aligns with the target role. However, the lack of diverse team projects or contributions to open-source beyond personal initiatives makes it difficult to fully assess cultural fit. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential mismatch in self-assessment or a very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.