Max Kutschinski

About Me

Data scientist with experience developing and deploying machine learning systems at scale.

Interests: MLOps, GenAi, Cloud Computing

Projects

Demand Forecasting for City Bike Rentals

August 2022

A key factor in the success of bike-sharing programs is the efficient allocation of rental bikes within a city. This study aims to predict bike demand based on time differences by making hourly forecasts over a 24-hour horizon using time series, deep learning, and tree-based models.
GitHub | PDF
- Python
- R
- Pandas
- Scikit-learn
- Keras
- Tensorflow
- Tidyverse
Web Traffic Forecasting

August 2022

Forecasting web traffic helps businesses better understand future trends and user behavior and can be leveraged to improve IT infrastructure. This analysis uses time series methods to forecast the number of daily website visits over a 30-day horizon.
GitHub | PDF
- R
- Prophet
- Forecast
- Fable
- Tidyverse
Loan Default Prediction

May 2022

Delinquent borrowers are a major risk factor in peer-to-peer lending. This analysis implements machine learning methods to predict if a person will default based on their loan application, allowing the business to approve a higher quality of loan applicants and therefore increasing returns to investors.
GitHub | UI
- R
- Keras
- Glmnet
- Ranger
- Tidyverse
- Caret

Contact Me