Johannes Geiger

I fell in love with data while studying for a degree in Conflict Resolution at the University of Essex. We used statistics to explore the patterns of international relations and different forms of organized violence (civil wars, insurgencies, interstate wars, etc.). My truly phenomenal statistics professor at the time introduced me to coding and quantitative analysis, which I have had a passion for ever since.

Things I Can Do

Get a quick idea of what data skills I have learned.

• Data analysis and visualization with Python
• Data analysis and visualization with R
• Classification algorithms in Python
• Regression algorithms in Python
• SQL basics
• Tableau basics

Projects

These pages show a few of my projects and give you a more detailed understanding of what I can do.

C2C Online Fashion Store

Using GridSearchCV and Random Forests to predict customer activity.

Kaggle Blueberry Yield Prediction Challenge

Using LGBM and Optuna to predict blueberry harvests.

Kaggle Horse Classification Challenge

Using a Random Forest model to predict categorical health outcomes for horses. Some methods used were Decision Trees, K Nearest Neighbors, and Cross Validation.

Master's Thesis: Using Quantitative Methods to Analyze State-Sponsored Cyberattacks

See how I used logistic and negative binomial regression to gain new insights from data. Note that this was a social science project and not, technically, a data science project.