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2024-06-01Additional articles will be added shortly. Stay tuned!
Read more →About Me
I’m a data scientist with a clinical background, currently completing an MSc in Applied Data Science. My master’s thesis—“LLM‑Driven Recommendation System for Early‑Stage Innovation Processes in Emerging Technology Domains”—is conducted with the Swiss Data Science Center (ETH Zürich) and Anacode and leverages large language models to surface emerging ideas and trends from unstructured text. During my current internship, I’m engineering an end‑to‑end ML system that assigns footwear products to the correct customs tariff codes and implements a preferential origin rule engine for a global sportswear brand, encompassing data pipelines, hierarchical classifiers and a production‑grade API.
My toolkit spans advanced statistics, machine learning and cloud engineering, enabling me to turn complex datasets into actionable insights and deployable products.
- Python & R
- SQL & NoSQL
- Advanced Statistics
- Linear Algebra
- Time Series Analysis
- Machine Learning
- LLMs & RAG
- Data Visualization
CV
Data Science Intern
Global Sportswear Company
Building ML pipelines for product categorisation.
Mar 2025 – PresentResearch Intern
HES‑SO Valais
Assisted with clinical data analysis projects.
Sep 2021 – Nov 2021Research Intern
ISPM Bern
Worked on epidemiological studies and reporting.
Oct 2020 – Jan 2021Physiotherapist
Various Clinics
Provided physiotherapy services across multiple settings.
2016 – 2024MSc Applied Information & Data Science
HSLU Lucerne University of Applied Sciences and Arts
GPA 5.5/6 (expected completion 2025)
Feb 2023 – PresentMSc Physiotherapy
Bern University of Applied Sciences
Best Graduate 2022
2019 – 2022BSc Physiotherapy
Thim van der Laan University of Applied Sciences, Landquart
Bachelor studies in physiotherapy
2013 – 2016Technical Stack
Programming & Scripting Languages
Python
R
SQL- Bash (Shell)
Data Science & Analytics Libraries
pandas
NumPy
scikit-learn
Keras
TensorFlow
Statsmodels
ggplot2
Development Environments & Tools
Jupyter Notebooks
PyCharm
Visual Studio Code
RStudio
Anaconda
Google Colab
Git
GitHub
Docker
Databases & Big Data Technologies
MySQL
PostgreSQL
SQLite
MongoDB
Neo4j
Apache Spark (PySpark)
Apache Airflow
Azure Data Factory
Databricks
Cloud Platforms & Services
Microsoft Azure
Amazon Web Services (AWS)
IBM Cloud
Google Cloud Platform (GCP)
Business Intelligence & Visualization
Tableau
Power BI
Microsoft Excel
Metabase
Project Management & Collaboration
Jira
Retrieval-Augmented Generation
Ask anything about me or my work.
Projects
Advanced Generative AI – Retrieval‑Augmented Generation (RAG)
End-to-end multilingual RAG pipeline from data ingestion to answer evaluation.
Improving Deezer’s Music Recommendation Engine
Enhanced collaborative filtering and content models for better music suggestions.
Google Play Store Apps Project
Explores app features to predict what makes a future hit on the Play Store.
NoSQL Lab with Python & MongoDB
Hands-on lab comparing MongoDB to traditional SQL approaches.
Exploring Airbnb Prices in Geneva
Interactive visual analysis of how location and host attributes impact prices.
Impact of Sweden’s 1991 Carbon Tax on Transport Emissions (Synthetic Control)
Replication of Andersson (2019) using the Synthetic Control Method.
Analyzing Accessibility and Pricing in Swiss Pharmacies: The Case of Painkillers
Highlights regional differences in painkiller availability and cost.
Shift Intensity Index (SIS) Visualization
Streamlit app showcasing a new metric for ice hockey player performance.
Sex Differences in Falls Among the Elderly Community-Dwelling Swiss Population
Population-based survey exploring gender-specific fall risk factors.