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M.Sc. Student of Information Systems with focus on Machine Learning at Karlsruhe Institute of Technology (KIT).
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thesis-visual-in-context-learning
December 17, 2024 – June 19, 2025
This project explores a new paradigm in medical image analysis by moving beyond traditional task-specific models towards generalist models capable of handling a wide variety of clinical tasks with minimal supervision.
View Projectkit-grade-analyzer
March 22, 2024 – August 27, 2024
Simple tool to analyze and compare the final grades of Karlsruhe Institute of Technology (KIT) graduates in a certain cohort using Streamlit + Plotly.
View Projectdatabase-lab-2023
December 5, 2023 – December 5, 2023
Submission for Exercise 03 of the Practical Course: Database Systems 2023 at KIT
View Projectbiosignals-gen-ai
November 21, 2023 – February 23, 2024
Seminar work of generating synthetic BCI data (EEG data) using Variational Auto Encoders (VAEs) and analyzing the effect on EEGNet at the chair of Information & Market Engineering (IISM) @ KIT
View Projectadvanced-ml-final-project
July 3, 2022 – August 7, 2022
Final (bonus) project of the lecture 'Advanced Machine Learning' taught by Dr. Nazemi (IISM). The goal is to predict a credit default with different models. Includes Data Cleaning, Feature Engineering, Model Comparison, etc...
View Projectmultivariate-verfahren
May 18, 2022 – July 27, 2022
Collection of Jupyter Notebooks of small tasks regarding the lecture 'Multivariate Statistical Procedures' at KIT.
View Projectnlp_doc2vec_unsupervised_clustering
March 30, 2022 – March 30, 2022
NLP Model (Doc2Vec) for clustering and analyzing customer feedback during my internship at BMW Group. Official data has been removed because of data privacy issues. No bokeh library since GitHub does not support interactive plots.
View Projectsem-data-analysis-VAE
November 13, 2020 – June 28, 2023
Generating realistic time-series data using a Variational Autoencoder.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and personal data science projects, primarily using Python and Jupyter Notebooks. While this demonstrates strong technical interest and capability in the target role, there is no information regarding collaborative projects, team environments, or diverse industry exposure. This limits the assessment of cultural fit beyond individual technical contributions.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the technical project descriptions. The candidate's focus on personal projects suggests self-motivation and initiative.