I am an electrical and computer engineering student at Thapar Institute of Engineering and Technology. With a strong academic background and a CGPA of 8.59, I am dedicated to leveraging my skills in machine learning to solve real-world problems and drive innovation.
During my summer internship at Thapar University, I designed a data collection instrument and created a dataset of 500 bricks. I then utilized machine learning algorithms to classify the bricks effectively and precisely. This experience showcased my ability to apply machine learning techniques to practical scenarios.
One of my notable projects is the development of a student performance prediction model. By utilizing data from the UCI Machine Learning Repository, I built a robust machine learning model that accurately forecasts student success in final exams. This project demonstrated my proficiency in data preprocessing, feature engineering, and model evaluation techniques.
Additionally, I have developed a movie recommender system that utilizes machine learning techniques to provide personalized movie suggestions for users. Through rigorous evaluation and continuous improvement strategies, I achieved optimal performance and showcased my proficiency in end-to-end project management.
Furthermore, I have analyzed WhatsApp group chat data to identify communication patterns in a college student group. By leveraging Python for data processing, Pandas for manipulation, and Matplotlib for visualization, I demonstrated my ability to extract actionable insights from unstructured data.
