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AT A GLANCE
Current (Sep 2019): Data Scientist at InsightOut Analytics
Developing Machine Learning and AI algorithms for business solutions in various fields. Applications include Neural Networks, Decision Trees, Random Forests and a wide range of Regression based analyses.
Aug 2018 – Aug 2019: PhD trainee / Research Analyst at the European Central Bank
Constructing and estimating systemic risk indicators for banks. Work involved various financial and macroeconomic datasets with applications focusing on impact assessment. Modeling techniques consisted of quantile and panel regressions, difference-in-difference analysis and clustering methods.
Sep 2015 – Jun 2018: PhD candidate / Research Analyst at Osnabrück University
Main tasks involved academic research and teaching. The research focused on seasoned equity offerings using corporate level datasets involving Event Study techniques and pooled Cross-sectional Regressions. Teaching concentrated on subjects in finance and macroeconomics.
Ongoing (Sep 2015): PhD candidate at Osnabrück University
Thesis: “3 Essays on Systemic Risk and Financial Stability”
Oct 2013 – Oct 2015: Master of Science in Economics at University of Bonn
Thesis: “A Quantitative Analysis of Sovereign Credit Risk for Emerging Economies”
Fall 2012: Exchange Semester at Universidade Nova de Lisboa
Oct 2010 – Sep 2013: Bachelor of Science in Economics at Viadrina University Frankfurt (Oder)
Thesis: “Estimating time-varying Betas in the CAPM model – An Empirical Analysis based on DAX 30”
Jun 2010: Nikolaus Lenau Lyzeum Timisoara, Bacalaureat
French: Basic Knowledge
Programming skills: Python, R, Matlab, Stata
Algorithms: various types of linear regressions, logit/probit models, event studies, k-NN, k-means clustering, support vector machines, neural networks
InsightOut Analytics is a consulting firm for Data Science, Machine Learning & AI.
We develop complete business solutions which enable our clients to stay competitive in their industries by taking data-driven decisions.
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