I was born 22.12.1986 in Munich-Lehel and I grew up in the beautiful Allgäu.
I started studing Political Science and Economics at Munich. One of my favourite Topics was Political Theory. That's the philosophical Stuff, where the famous historical Guys like Aristoteles, Locke and Habermas are explaining why and how humans live together in States. Because I also always wanted to calculate Stuff, I also enjoyed my outer Subject. Espacially Game Theory, about which I wrote my Thesis.
Between my Bachelor and Master Programm, I had an Internship at Stuttgart. Here I had my first Experience with Queries and Database Development. I also got involved on the Front End for the first time, while formatting Job Advertisements in HTML. It was a pretty good time at Dr. Scharff and Eiberger. I had my the best working atmosphere ever.
At the Beginning of my Master, I did a lot of Quantitive Methods: Decicion Theory, Stochastic Processes, Time Series Analysis and Econometrics.
During the Course Computational Macroeconomics, I discovered my Passion for Programming. We had to programm a Modell, that simulates
what happens to an Economy, if it got hit by a Shook. I felt transzendental, then I had to press an Button and than a little World was simulated
and running (click here).
So I wanted to do more with Programming, this is why I did more Operations Research (Heuristics and Algorithms.) in the second Half of my Master
Programm. My Thesis had the beautiful Name: „Simulation-based Algorithms for the Solution of Markov Decision Problems“. I developed an Algorithm to
contoll the Capacity of an Intensiv Care Unit at an hospital. Therfore I had to Model the Problem as an Markov Decision Problem and find the best
suiting Probabilty Distributions for incoming Patients and there length of stay throuh Kolomogorov-Sminrov and Chi-Squared Test. The Problem is
binary, the Hospital can remit surgerys, after that the patient needs intensic care to outer hospitals.The Algorithm itself was inspired by
Evolutionary Policy Iteration. It first regarded the patient, who is expecte to be released next based on his health condition, than it
calculates through Simulation what is the best Decision. Because the Problem is binary, the algorithm wants to know at which Length of Stay it's
better to make one Decision or the outer. Than it watches the Patient that will be released second next and so it can interate through. It was
impemented in Java (for further Reading click here).
Here I did some Administration (Rights Administration, Onboarding) and I can tell you one thing: be polite to you Administrator. You don't want to do his Job, so be glad that he is there. I also did Assistance in the Requirements Engineering, so I could learn why this is an important Topic espacially in a big IT-Project. I also found out, that Trello and Sharepoint are pretty usefull Tools.
Here I developed an automatic Forecasting Tool for used Cars in R. It uses an API to get Price Courses for Predecessor Models of the Customers Fleet from the Company's System, cleans this Courses (gets the Trend, Outlier Corrections, adds seasonal Effects etc.) and makes Predictions for the actual Cars of the Fleet. Thus I learned much about Functional Programming with the Purrr Package, Data Manipulation and Cleaning with the Tidverse and about JSON-Objekts. Data visualization was also a Topic, I created some Visualisatzion Tools to enabel the Head of the SQL-Team to gain Insights about Vendors. For example with Density Distributons or Box Plot to visualize Outliers. The most exciting Project was the Development of an Machine Learning Algorithm for Data Wrangling with Python. It made a Random Forest Regression with Scikit-Learn to wrangel missing Data. My other Tasks were the Development of Databases (Querys and Manipulation) and the Maintenance of ETL-Processes.