Max Thomasberger is a data scientist with 8 years of experience combining economic rigor and production-grade data engineering to build actionable data products. Based in Vienna, he leads data science efforts at Austria's FFG while lecturing in data science and machine learning for an economics master's program, bridging academia and applied analytics. His work at World Data Lab included owning versioned automated ETL pipelines, leading technical due diligence for Series A, and building global models—from bilateral remittance forecasts to US county-level spending projections—demonstrating skill in large-scale scraping, QA automation, and forecasting. Trained in economics (WU) and statistics/data science (MIT edX Micromasters), he pairs micro/macro economic insight with hands-on coding in R, SAS, SQL and tooling for reproducible pipelines. An early career in sound engineering and award-winning audio production hints at a creative, multidisciplinary approach to data storytelling and visualization.
8 years of coding experience
18 years of employment as a software developer
Diploma, Sound Engineering, Diploma, Sound Engineering at SAE Institute
Micromaster in Statistics and Datascience, Micromaster in Statistics and Datascience at Massachusetts Institute of Technology | edX
Master's degree, Economics, Master's degree, Economics at WU (Wirtschaftsuniversität Wien)
This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience
Contributions:4 commits, 1 PR, 1 push in 1 year 7 months
capstonestatisticsexamsdata-sciencecheatsheet
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.