This collection showcases a diverse range of machine learning models and data analysis projects, each designed to extract meaningful insights from unique datasets. The portfolio demonstrates a comprehensive approach to data-driven decision-making, with a strong emphasis on thorough data exploration. Each project is housed its own dedicated repo.

The goal is to provide insightful and visually appealing representations of key nutritional metrics, enabling better understanding and healthier choices for consumers.

Offer optimization using machine learning techniques with Starbucks dataset.

Official Starbucks Nutritional dataset

Built a predictive pipeline to optimize customer targeting for Starbucks promotions.

An analysis and visualization of Starbucks Customer Data

Review basic web development concepts through a coffeeshop project