Master Student in Econometrics · Business Analytics

Hi, I'm Ivy.
I turn data into
clear insights and decisions.

Young professional with a passion for data analysis, visualization, and making complex problems understandable.

View my work Get in touch

About

I'm a young professional with an MSc in Business Analytics and Econometrics at University of Cologne. I enjoy working at the intersection of data, finance, and decision-making.

Beside building models or analyzing data, I'm exploring new tools to access complex machine learning models for nontechnical users.

Python Jupyter Risk Modeling Data Analysis SQL Pandas Machine Learning Streamlit

Projects

Credit Scoring — Default Probability Prediction ↗

Machine learning-based credit scoring models to predict the monthly default probability of credit card customers. Includes model comparison, expected loss analysis, and an interactive Streamlit UI tool.

Python XGBoost Neural Network Random Forest Streamlit Risk Analysis
Loneliness & Mental Health — Multivalued DML ↗

Causal inference analysis of loneliness and depression/anxiety using multivalued Double Machine Learning, with Random Forest, XGBoost, Lasso, OLS, and Causal Forest approaches.

Python DML Random Forest XGBoost Lasso Causal Inference

Contact

Interested in working together or just want to say hi? I'd love to hear from you.

EMail LinkedIn GitHub