Undrafted Analytics
#UndraftedAnalytics is a German-language football analytics podcast project.
Welcome //
Nice to meet you
Data is a challenge, a resource, a mystery, a torture, and a lot of fun - at least for me.
Welcome //
About me
Data Strategy // Data Science // Machine Learning // Application Cases
- Currently employed as senior data strategist
- Practical skills as data scientist in various fields of application and subjects
- Several years of experience in the insurance industry
- Further experience in people analytics at a global wholesale group
- Adjunct lecturer for applied, data science oriented programming
- Graduated in physics and extra-occupationally in BI systems and data mining
- Excited about american football analytics
- Passionate runner and karateka
Portfolio of projects
Application cases on various topics // Data strategy approaches // Visualization compositions
A/B-testing trials
Development of the theoretical basis for statistical hypothesis testing with calculation of sample data sets.
Wrangling and cleansing business data
In this project an Excel spreadsheet will be presented which is closely oriented to a real case, but contains only simulated figures.
Violence against women
Two indicators from OECD's open database concerning violence against women are considered and presented as visualizations in the following. In this short essay the contents of the graphics are explained.
Data science business in my view
Discussions // Interviews // Background articles // Statements and opinions
Data science career reflection based on CRISP-DM process model
How can I share my own professional experiences with Master’s students in business analytics and data science? Encourage them to self-reflect? I asked myself this question when I was invited to give a guest lecture at a University of Applied Sciences. My approach was to adapt the CRISP-DM process model which is familiar to many students and practitioners in the field of data science.
Published on
LinkedIn
Medium
Github
"Industry knowledge is a great advantage for data scientists"
The Data Science Recruiter Marco Hoefler was interviewed by me about his job and the selection process for Data Science positions. He tells me what quali1ties applicants need to have in order to succeed in the process and which skills are of secondary importance.
Published on
LinkedIn
Medium
Github
Teaching activity
Python // Data Science // Information and Knowledge Management
- Currently lecturing at the FOM Hochschule für Oekonomie & Management in Cologne
- Teaching in the Master’s courses Big Data & Business Analytics and IT Management
- Modules:
- "Applied Programming", comprising data analysis lifecycle models, SQL, Python, machine learning, visualizations, and data storytelling
- "Knowledge and Information Management", comprising theories of information and knowledge, information model approaches, practical aspects of knowledge management
Undrafted Analytics
German podcast for football analytics
- Every Thursday during the NFL season we present data and graphics on football analytics
- We explain how to make data-driven decisions and how to calculate, interpret and evaluate forecasts
- We are "undrafted" because we are not football experts just simple fans - but we are data analysts, that's what we do
- Subscribe to the podcast and follow us on social media:
