Context
This project connects my background in applied mathematics with data engineering to solve a concrete forecasting and anomaly detection problem.
Approach
- Exploratory analysis and data preparation
- Feature engineering from multiple sources
- Modeling with Scikit-learn
- Evaluation and interpretation of results
- Visualization of predictions and detected anomalies
Demonstrated skills
- Advanced statistics: hypothesis testing, time series
- Machine learning: supervised and unsupervised models
- Mathematical modeling: rigorous approach grounded in my academic background
- Data storytelling: turning results into operational recommendations
Tech stack
Python · Pandas · Scikit-learn · Matplotlib · SQL
Results
(To be completed when the project is fully published)