About me

I'm a Data Scientist and AI Engineer from Zurich, Switzerland, specializing in machine learning, artificial intelligence, and data-driven solutions. I enjoy transforming complex data challenges into actionable insights and building intelligent systems that drive real-world impact.

With a strong foundation in economics, statistics, and computer science, I combine analytical rigor with technical expertise. I've worked on projects ranging from machine learning applications at the Swiss National Bank to co-founding an AI startup. My passion lies in applying cutting-edge machine learning techniques, NLP, and reinforcement learning to solve challenging problems in finance, economics, and beyond.

What I'm doing

  • Machine Learning & AI

    Developing advanced ML models including deep learning, reinforcement learning, NLP, LLMs, and RAG systems.

  • Data Science & Analytics

    Statistical modeling, causal inference, time series analysis, and experimental design for data-driven insights.

  • Software Engineering

    Building scalable data pipelines, APIs, and full-stack applications using Python, React, and cloud platforms.

  • Economic Research

    Applying econometrics, behavioral economics, and game theory to analyze markets and strategic behavior.

Resume

Work Experience

  1. Experienced Data Scientist

    2026 — Present

    FINMA Swiss Financial Market Supervisory Authority, Switzerland
    Supporting the Swiss financial market supervision with data-driven insights. Applying machine learning, particularly NLP, to modernize rating systems and reporting tools, working closely with stakeholders and IT to deliver sustainable, high-impact solutions.

  2. AI Engineer & Product Lead

    2024 — 2026

    Montigo Labs AG, Switzerland
    Co-founded and led the product Montigo Investor Portal: designed and shipped core features, supported AWS deployments, and set guardrails, evaluation protocols, and compliance requirements.

  3. Data Scientist

    2023 — 2025

    Swiss National Bank, Switzerland
    Developed and deployed machine learning models for futures markets; built scalable data pipelines, experiment tracking, monitoring and retraining with MLflow; co-developed a data quality framework across Asset Management.

  4. Quantitative Analysis Intern

    2022 — 2023

    Swiss National Bank, Switzerland
    Applied machine learning techniques for futures market prediction and strategy development. Contributed to portfolio management system design and model evaluation.

  5. Scientific Assistant

    2021 — 2022

    WSL (Swiss Federal Institute for Forest, Snow and Landscape Research), Switzerland
    Civil servant in the Dynamic Macroecology Group under the supervision of Dr. Heike Lischke.

  6. Research & Teaching Assistant

    2018 — 2022

    IBF UZH (Department of Banking and Finance), Switzerland
    Led the project Digital Visualization, funded by swissuniversities. Head teaching assistant for courses in Finance, Statistics, and Macroeconomics.

Education

  1. M.A. Economics & Data Science

    2018 — 2021

    University of Zurich, Switzerland
    summa cum laude
    Specialization: Machine Learning and Econometrics

  2. M.Sc. Data Science

    2018 — 2021

    ETH Zurich, Switzerland
    Specialization: Machine Learning and Statistics
    Completed one third of Master studies at ETHZ

  3. B.A. Economics & Finance

    2014 — 2018

    University of Zurich, Switzerland
    magna cum laude
    Specialization: Econometrics, Game Theory and NLP

My skills

  • Python
    95%
  • Machine Learning & AI
    90%
  • Data Science & Statistics
    90%
  • Cloud (AWS, Azure)
    80%
  • Econometrics
    90%