CV

Professional Experience

2021 - present Data Scientist, QuantCo

2016 - 2020 Doctoral Student and Scientific Assistant, ETH Zurich

2014 Intern Research Unit, Deloitte

2013 - 2014 Intern Monetary Policy Analysis Unit, Swiss National Bank

Education

2016 - 2020 ETH Zurich, Doctor of Sciences, Economics
Doctoral thesis: “Essays on Causal Inference in Economics: Methods and Applications”

2014 - 2016 LMU Munich, Master of Science, Economics
Specialization: Applied Econometrics
Master thesis: “Forecasting Personal Consumption Expenditures Using Google Trends”

2010 - 2013 University of Bern, Bachelor of Science, Economics

Software Skills

R (incl. Shiny): Very good knowledge

STATA: Very good knowledge

Python: Good knowledge

SQL: Good knowledge

Git/GitHub: Good knowledge

Groovy: Good knowledge

MATLAB: Good knowledge

LaTeX: Good knowledge

Docker: Basic knowledge

VBA: Basic knowledge

Training and Courses

2016 - 2018 ETH Zurich: Computational Statistics, Machine Learning, Causality, Identification and Causal Inference, Empirical Methods in Energy and Environmental Economics, Advanced Microeconomics

2016 - 2018 University of Zurich: Econometrics for Research Students I & II

2017 SZ Gerzensee: Machine Learning for Treatment Effects and Structural Equation Models (Summer School)

2018 University of St. Gallen: Econometrics of Big Data (Summer School)

2019 EPF Lausanne: Computational Methods for Economists (Summer School)

2018 - 2019 Datacamp tracks: Data Scientist with R, Data Analyst with R, R Programmer (detailed list of completed courses)

Languages

German: Mother tongue

English: Fluent (C2)

French: Good working knowledge (B2)