Senior Data Scientist
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- 80339 München
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- 29.06.2025
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
5/2025 – 6/2025
Tätigkeitsbeschreibung
Objective: classifying call trascription with a multi-class classifier. The labels were nested in a hierarchy.
Achievement: The solution involved an emsamble of binary classifiers, working with a class hieararchy (hierarchical classifier, OneVsRestClassifier). The preprocessing involved topic extraction (keywords) to enrich the features, as well as obtaining a number of embeddings (OpenAI API, QWEN, etc.)
Data Science, Large Language Models, Machine Learning, Machine Learning Engineer
11/2024 – 6/2025
Tätigkeitsbeschreibung
Objective: To create a multi-agentic system, supported by a Knowledge Graph, that
automates the process of drafting a research paper. The system used multiple experts
(OpenAI models) that ”collaborated” during the process of document drafting. The
whole process was supported by a Knowledge Graph out of which we extracted useful
information.
Data Science, Machine Learning Engineer, Large Language Models, Natural Language Processing
2/2024 – 2/2025
Tätigkeitsbeschreibung
Objective: given a spectral image that depicts the value of the sensors’s readings,
classify the signals and identify novelties (anomalies).
Approach: Given that there was not sufficient labeled data, I had to rely on self-
supervised machine learning paradigms. To satisfy the customer’s request for fast
processing, I utilized one of the YOLO architectures. The system was developed
with the mmyolo framework.
Data Science, Machine Learning Engineer, Computer Vision, Machine Learning
2/2024 – 9/2024
Tätigkeitsbeschreibung
Objective: an LLM chatbot to help with HR-related inquiries.
Approach: I led the development of an advanced Retrieval-Augmented Generation
(RAG) system aimed at improving HR data retrieval processes. This system utilizes
the Milvus Vector Similarity Search Database and OpenAI’s API to efficiently source
and integrate extensive HR-related data, enabling it to respond to a broad spectrum
of HR inquiries.
Data Science, Large Language Models, Machine Learning, Natural Language Processing
8/2021 – 9/2023
TätigkeitsbeschreibungDeveloping a Recommender System powering one of the largest Audio on Demand platforms in Germany.
Eingesetzte QualifikationenData Science, Machine Learning Engineer, Machine Learning
8/2021 – 7/2023
TätigkeitsbeschreibungDesign and implementation of a Recommender System powering one of the most popular German video- and audio-on-demand platforms, with hundreds of thousands item in the catalogue-pool.
Eingesetzte QualifikationenData Science
4/2021 – 8/2021
Tätigkeitsbeschreibung
Objective: Fraud detection.
Approach: I designed and developed a fraud detection model for a Middle-Eastern
Buy-Now Pay-Later platform. A critical step for this client involved data pre-
processing, during which I employed a graph-based approach to identify cliques of
fraudsters. This was the first successful machine learning project for this client.
Data Science, IDS (Intrusion Detection System), Machine Learning
9/2019 – 4/2020
Tätigkeitsbeschreibung
Objective: To predict the likelihood of loan repayment by bank customers, aiding
in their segmentation for tailored communication strategies (email, SMS, or phone
calls).
Achievement: Created a behavioral scoring machine learning model, now incorporated
into Receeve’s collection approach.
Data Science, Machine Learning Engineer, Machine Learning
4/2018 – 12/2018
Tätigkeitsbeschreibung
Objective: To predict vehicle transportation prices, providing dispatchers with a
reliable basis for pricing.
Achievements: Enhanced the machine learning model’s accuracy by approximately
40% through advanced feature engineering and implementing a two-tiered regression
strategy, combining residual and standard regression techniques powered by XGBoost.
Data Science, Machine Learning Engineer
Zertifikate
Ausbildung
Konstanz
Über mich
Areas of expertise:
• Classical Machine Learning
• Deep Learning (pytorch, tensorflow, py-g)
• Computer Vision
• LLM/RAG development
• Anomaly Detection
• Recommender Systems
The youngest P. in Computer Science at The University of Konstanz, Germany (age 25).
Author of the novel "Waters of the Green", available at: -Hyperlink entfernt-
Weitere Kenntnisse
Persönliche Daten
- Englisch (Muttersprache)
- Deutsch (Fließend)
- Europäische Union
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