DSTI School of Engineering
Paris, France

Applied M.Sc. Data Engineering
Jan 2021 - May 2024

• Cloud and software engineering: Cloud Computing Amazon AWS+Azure (4+3 ECTS), Software Engineering Part I & II (3+3 ECTS), Web Engineering (4 ECTS), Python Machine Learning Labs (4 ECTS), Semantic Web technologies for Data Science developments (4 ECTS), Cybersecurity (4 ECTS)

• Data Engineering: Data Wrangling with SQL (3 ECTS), Document + Neo4j Graph Database NoSQL (2+3 ECTS), Data warehousing & ETL (4 ECTS), Big Data Ecosystem Hadoop and Spark (4 ECTS), Data Pipeline Part I & II (4+4 ECTS).

• Data Science & Operational Methodologies: Applied Mathematics for Data Science (3 ECTS), Foundations of Statistical Analysis & Machine Learning Part I (3 ECTS), Big Data Processing with R (4 ECTS), Deep Learning (4 ECTS), Artificial Neural Networks (4 ECTS), MLOps (2 ECTS), PMP-PMI + Agile Approaches (2 ECTS), Data Laws & Regulations (2 ECTS), CRM Data Management (4 ECTS), DevOps (4 ECTS)  

• Featured projects:

  • 4th place in the IEEE 2023 International Conference on Big Data Machine Learning Competition (paper)

  • 1st place in reproducibility and 2nd place in accuracy in the European Statistics Awards data science competition (14,000EUR)

Columbia University
New York City, United States

Visiting  Ph.D.  Scholar
Oct 2019 - Dec 2019

• Visiting researcher sponsored by Paul Glassermann

• Presenting research at the Columbia Data Science Community (poster)

Goethe University
Frankfurt, Germany

Ph.D. Quantitative Finance: "Essays in Financial Economics and Big Data"
Oct 2014 - Jun 2020

• My dissertation, titled "Essays in Financial Economics and Big Data", consists of four chapters which all revolve around big data processing and/or banking supervision, and received the best possible grade, summa cum laude. The second chapter, for instance, employs a supervised machine learning model, borrowed from the natural language processing literature to investigate how investors react to soft information. Initially, I attempted to run the algorithm locally, but after identifying several performance bottlenecks, I moved the processing to a cluster computing solution (AWS EMR, a cloud-managed spark service) and persisted the data to the cloud object store S3. 

• My papers on financial economics dealt with banking supervision and resolution and were published in the Journal of Financial Regulation and Journal of Financial Stability, highlighting my field interest and domain expertise. 

• Awards and scholarships

  • travel grants: Bank of England, American Finance Association, Interamerican Development Bank

  • SAFE Ph.D. Scholarship

  • BRRD paper was shortlisted for the Ieke-van-Burg prize for research on financial stability and as such published as ESRB Working Paper No. 111 

Master of Quantitative Economics
Oct 2014 - Oct 2017

• Master’s degree in quantitative economics at Goethe University / GSEFM. GPA 1.4 (best 1.0) Passed all qualifying examinations (Advanced microeconomics, macroeconomics, and econometrics) for the Ph.D. program on the first attempt. Specializations: Econometrics & Banking 

• Master thesis: "On the flow and performance of corporate bond funds" (graded 1.0) 

• Awards and scholarships:

  • 3rd best student masters cohort

  • Friedrich-Naumann-Stiftung merit-based scholarship 

Albert-Ludwigs-Universitaet Freiburg
Freiburg, Germany

B.Sc. Economics
Oct 2010 - March 2013

• Specialization: Econometrics & Computational Economics

• Thesis: "The Federal Reserve in the 2007-2009 crisis" (graded 1.3)

• Academic year abroad at the University of North Carolina (Greensboro, USA)

• Awards and scholarships

  • Friedrich-Naumann Stiftung Scholship

  • Baden-Wuertemberg Scholarship

Geschwister-Scholl-Gymnasium
Waldkirch, Germany

Abitur (high school diploma)
July 2010

• Specialization: Physics & Politics

• GPA: 1.3 / 2nd best in cohort

• Price of the German physists association