Hi, I am Max.
I’m about to finish my Ph.D. in quantitative marketing, where I developed Bayesian text mining models. Now, I am looking for new challenges to tackle in the field of data science.
My name is Max Schulze Dieckhoff, and I am currently working at the Catholic University of Eichstätt-Ingolstadt as a research and teaching assistant. Since I picked up business studies in 2010, I was always interested in the more quantitative sides of decision making and optimization. Therefore, during the past 10 years, I acquired essential data science skills such as R, SQL, and Python (including NumPy, Pandas, and Tensorflow/Keras). This is complemented by my domain knowledge about business applications, statistics, Bayesian modeling, and problem-solving.
4 years of experience as a Ph.D. candidate solving complex problems and teaching respective tools to students.
Developing machine learning models in R and Python with a focus on Bayesian topic models.
Experience in obtaining, reviewing, cleaning, and visualizing a wide variety of data types.
From Research to Results
During the past four years, I have dealt with identifying key problems, coming up with elegant and functional solutions while also adapting to emerging challenges and obstacles. I have compiled a portfolio to represent the skillset I have obtained and used during my work in data science.