A biologist exploring the hidden patterns in the world of data
I’m curious about how data and Machine Learning can be used to solve meaningful problems.
Most of my projects focus on exploring data, building models, and finding practical applications.
- 🎓 Final Project – Time Series / Decision Tree:
End-to-end Machine Learning pipeline using Random Forest and XGBoost, applied to a real-world dataset for predictive modeling. Includes data preprocessing, feature engineering, model training, and evaluation. - 📊 Exploratory Data Analysis (EDA):
Comprehensive analysis of a dataset, including data cleaning, visualization, and statistical insights to identify key patterns and correlations prior to modeling.