Mohammad Salman Email and Phone Number

Developed a CatBoost model on the Adult Census Income Dataset to predict income levels, achieving 88% accuracy, 87% precision, 88% recall, and 87% F1-score. Prioritized recall to minimize errors that could exclude eligible individuals from government schemes. Employed modular programming and logging for efficient debugging.

Analyzed Airbnb's dataset and created a Tableau dashboard to tackle key operational challenges, including host earnings, price correlations, and neighborhood popularity. Utilized NumPy and Pandas for data cleaning and preprocessing, and Tableau for interactive visualizations.