Implementation of linear regression algorithms built from scratch using Python and NumPy.

Data analysis project focused on pattern discovery, visualization and statistical interpretation.

Machine learning project predicting whether an insurance claim is fraudulent based on policy, customer, incident and claim-related data. The project includes data cleaning, exploratory analysis, categorical encoding, Random Forest training, class imbalance handling and threshold tuning to improve fraud detection recall.