This application leverages cutting-edge latest LLaMA models (3.2 1B and 3.2 11B) to provide powerful language processing capabilities

I conducted an A/B testing project for an e-commerce store, designing experiments to compare various web page versions and features.

I performed an in-depth data analysis using Python, leveraging libraries like Pandas and NumPy for data manipulation and Matplotlib for visualization.

I built a pneumonia classifier using Stream lit and transfer learning to train a CNN model. Streamlit enabled me to create an interactive interface.

I’ve built dynamic dashboards in Tableau that transform complex data into clear, actionable insights.

These machine learning projects are based in real-world challenges, like stock forecasting, customer churn prediction, and order forecasting.