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  • 👋 I’m an Economist/Data Scientist
  • 🤓 Junior Economist and PhD student @ LMU Munich and ifo Institute
  • 🎓 2x MSc Economics (UCL, HU Berlin)
  • 💻 Previously Berenberg Bank, HelloFresh, Bundesbank, European Central Bank
  • 👀 I’m interested in Macrofinance, inequality + social mobility and machine learning for causal inference
  • 💾 Tech Stack: Python, R, NodeJS, AWS, SQL, Matlab
  • 🏆 Hackathon winner
  • 💞 Let’s collaborate on public (research) data infrastructure, novel data sources and data literacy
  • 📫 Reach out to me if you want to chat about life as a researcher, occupational choice and mentoring or Black Metal
  • 👍 Authenticity, honesty, genuine interest and care, courage, skill
  • 👎 Ignorance and carelessness, arrogance, abuse of power, cognitive dissonance

Gerome Wolf 's Projects

bear-toolbox icon bear-toolbox

The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian Panel) VAR toolbox for forecasting and policy analysis.

da2_homework icon da2_homework

This is the repository for the homework assignment in Datenanalyse 2. I'm analysing data from various sources such as Spotify, Keywordtool and the Youtube Data API to predict music streams.

dtw icon dtw

Simple speech recognition using dynamic time warping with examples

gerwolf icon gerwolf

Config files for my GitHub profile.

gini icon gini

Calculate the Gini coefficient of a numpy array.

google-cloud-skill-boost icon google-cloud-skill-boost

The scripts that I wrote are to (sort of) guide me to understand the thoughts behind each command in the course. These scripts are supposed to be used in Google Cloud Console.

gorbit icon gorbit

Making the freely available and excellent Orbis data just a little bit more easy to use.

hark icon hark

Heterogenous Agents Resources & toolKit

hayashi icon hayashi

Answers to review questions and analytical exercises of the Econometrics (Hayashi, 2000) textbook.

kmedoids icon kmedoids

The Partitioning Around Medoids (PAM) implementation of K-Medoids algorithm in Python.

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