Bodo Burger
Data Scientist at Mücke Roth & Company
About me
I am a data scientist at Mücke Roth & Company in Munich, Germany. I have a Master’s degree in statistics and a Bachelor’s degree in economics. I am interested in all things related to data analysis, e.g. statistics, data science, machine learning, deep learning.
Beyond modeling and predicting I think it is also important to interpret results (machine learning interpretability, eXplainable AI) and consider economic and social implications of a data driven world.
In my spare time, I make electronic music and play the piano. I enjoy going for a hike or on a bicycle tour through the Alps. Besides, I regularly go swimming and play / watch football (aka soccer) and chess.
- Data Science
- Machine Learning
- Deep Learning
- Artificial Intelligence
MSc in Statistics, 2019
Ludwig-Maximilians-Universität München
BSc in Economics, 2014
Ludwig-Maximilians-Universität München
Skills
Advanced experience, e.g. package development, mlr, knitr, Rmarkdown, ggplot2, tidyverse.
Solid experience, e.g. NumPy, pandas, text parsing, file operations, SQL connection (Psycopg2), web crawling, JupyterLab
Basic experience.
Tensorflow, Keras, mlr, scikit-learn, xgboost, gbm, RandomForest.
MySQL, PostgreSQL.
Experience with Amazon Web Services, netlify, Wercker.
Git, GitHub, GitLab.
Daily work with Ubuntu as my main OS.
Stata (created and hold an introductory Stata tutorial for an Econometric lecture), Microsoft Excel (solid experience).
HTML, CSS, JavaScript.
Latex (advanced experience), Microsoft Word / Powerpoint (solid experience), Photoshop / Gimp (solid experience).
German: native tongue. English: professional. Spanish / French: basic.
Experience
- Developing a text parser that reads car status reports and transfers the data to an SQL database.
- Tools: Python, PostgreSQL, Git.
- Creation and revision of lecture notes for Computational Statistics and Predictive Modeling (graduate level).
- Weekly tutorial for Computational Statistics (graduate level).
- Tools: R, RMarkdown, Latex, Git.
- Topics: International, industrial economics, studies on innovation.
- Data collection and analysis, literature research, preparation of lecture slides.
- Tools: Stata, LaTex, Microsoft Word / Excel / PowerPoint.