Adil Perwez

I am a Computer Science undergraduate focused on applying machine learning and data analysis to solve real-world problems. I have hands-on experience building models using Python, Scikit-learn, and deep learning libraries.

My projects include an AI Hand Gesture Recognition system (85% accuracy) using CNNs and OpenCV, a plant-health ML system BAGHBAAN achieving 99.2% classification accuracy, and a Weather Forecasting System that reached 90% accuracy with Linear Regression.

I complement technical skills with data visualization and reporting using Power BI, Tableau, and Excel (pivot tables and data cleaning), and I have completed certifications in IoT Edge Computing & Analytics, Cloud Computing, and Artificial Intelligence.

I contribute in team settings through leadership and technical roles in student organizations, running workshops and managing event operations, and I seek opportunities where I can grow as a data- and ML-focused engineer.