Expected Graduation: July, 2026
Year of Completion: 2022
Created an intelligent Tic-Tac-Toe game where players can compete against an AI opponent. Leveraged machine learning algorithms to develop an AI capable of strategic gameplay, ensuring challenging and engaging matches for users. Implemented using modern software development practices for a seamless user experience.
Developed a reliable housing price prediction model utilizing Multiple Linear Regression (MLR). Achieved an accuracy of 85% through meticulous hyperparameter tuning and feature engineering, ensuring dependable predictions for the real estate market.
Designed an advanced emotion sentiment analysis system using Natural Language Processing (NLP) techniques. This project achieved an accuracy of 87% and a precision of 85%, demonstrating strong capabilities in understanding and interpreting human emotions from textual data.
Developed a sophisticated real-time chat application utilizing MS SQL Server for database management. The application provides seamless and efficient communication with real-time message updates, user authentication, and data persistence, ensuring a reliable and engaging user experience.
Developed a robust web application using ASP.NET Web Forms, integrated with an SQL database. This platform provides a seamless one-way solution for sellers to list their products and for buyers to make purchases efficiently.
Led the creation of a comprehensive web application similar to ESPNCricInfo, catering to cricket fans worldwide. Utilized HTML, CSS, and ReactJS for a dynamic and engaging frontend, alongside a robust backend infrastructure to support extensive data handling and user interactions.
Ensuring the accuracy and integration of automobile information on the PakWheels platform. Conducting data audits, updating vehicle information, and collaborating with the team to enhance data quality. Passionate about maintaining high data standards and contributing to Pakistan's largest automobile marketplace.
Contributed to a major web development project during a 4-week internship. Developed proficiency in HTML, CSS, and JavaScript, focusing on enhancing user interfaces. Utilized Git for version control, ensuring seamless collaboration and code management.
Engaged as a Junior Data Scientist, actively contributing to various projects. Collaborated with a dedicated team to achieve project objectives, performing data analysis and employing statistical methods and machine learning algorithms to derive actionable insights and solutions.
Coordinated and led two workshops at FAST-NUCES, Lahore, providing hands-on learning experiences on various technology topics. Organized and facilitated six sessions on cutting-edge technologies, fostering a culture of continuous learning and skill development among students and peers.
Languages: Python, C, C#, C++, HTML5, CSS3, SQL.
Technologies & Frameworks: Scikit-learn, Matplotlib, Pandas, NumPy, Hadoop, MRJob, Spark, Ms SQL Server, VS code , Google Colab, Github.
