E-Commerce Management System

Developed a scalable e-commerce database system using MySQL and Python to optimize inventory management, analyze sales trends, and support data-driven decision-making. Designed intuitive user portals with PyQt5 and leveraged tools like Pandas, NumPy, Matplotlib, and Seaborn to streamline operations.

Smoking and BMI: Impact on Health

This project examines the relationship between smoking, BMI, and key health metrics using a dataset of 55,000 individuals. It identifies critical correlations, assesses health risks, and employs advanced visualizations and predictive modeling to inform public health interventions.

Predict Falcon 9 Landing Success

Can we predict the success of Falcon 9 rocket landings and revolutionize space launch cost analysis? This project dives into SpaceX's groundbreaking reusable rocket technology and its potential to redefine space exploration economics.

Analyzing Stock Performance and Building a Dashboard

Extracted financial data for Tesla, Amazon, AMD, and GameStop using Python, BeautifulSoup, and yfinance. Visualized trends with graphs and dashboards in JupyterLab as part of the IBM Data Science program.

Predict the Frequency of Natural Disasters

The escalating effects of climate change, including increased wildfires and flooding in California, threaten public safety and resources. This study explores the key factors behind these hazards using advanced data analysis.

Numerical ODE: Fermi-Pasta-Ulam-Tsingou problem

Fortran implementation of leapfrog methods. A Python plotting and post-processing tool.