Galalelo

No project description available.

data quality project

Complete data analytics project using Python, SQL, and Power BI to analyze 3,900 customer transactions. Delivers actionable insights on purchasing patterns, product performance, customer loyalty, and revenue drivers. Features interactive dashboard for real-time business decision-making.

This project develops an interpretable machine learning model to classify breast tumors as malignant or benign using fine-needle aspirate (FNA) measurements. The model aims to help a medical scheme automatically identify high-risk patients, ensuring that cancer benefits are allocated promptly and without unnecessary delays.

A proof-of-concept for a South African medical aid scheme, using EDA and linear regression on US data to identify key cost drivers (smoking, age, BMI) with a methodology adaptable to local regions.

This project applies NLP and machine learning to classify Amazon Fine Food Reviews as positive or negative, using TF‑IDF feature extraction, Logistic Regression and Naïve Bayes models, evaluated with accuracy, precision, recall, F1, and confusion matrices.