Sheheryar Ahmad

Built a regression model to predict bulldozer prices using historical sales data. Performed data preprocessing and implemented Random Forest Regressor, optimizing performance through hyperparameter tuning.

Developed a predictive model to classify heart disease using various algorithms. Conducted data cleaning and exploratory data analysis to improve model performance.

Developed a full-stack music streaming application using Flutter and FastAPI. Implemented user authentication and designed features for a smooth user experience.

Developed and maintained web applications using Django and Python. Integrated MySQL databases and optimized queries for better performance. Worked on frontend integration using HTML, CSS, and JavaScript with Django templates.

Developed RESTful APIs using FastAPI, ensuring high performance and scalability. Integrated MongoDB/PostgreSQL databases and optimized data retrieval. Built cross-platform mobile applications using Flutter and Dart.

Completed a comprehensive bootcamp in Data Science and Machine Learning, covering essential topics such as data analysis, machine learning algorithms, and practical applications of AI.

Studied TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, gaining insights into advanced machine learning techniques and their applications in real-world scenarios.

Grade: CGPA 3.32

Pursued a Bachelor of Software Engineering with a focus on software development principles, programming, and project management. Engaged in coursework that included machine learning, data science, and artificial intelligence, enhancing practical skills in building software solutions.

Engaged in advanced studies of Machine Learning and AI, focusing on natural language processing, data science methodologies, and deep learning frameworks to enhance technical expertise.