Fawad Ahmad

Model Hyperparamater Tuning , End-to-End machine learning pipeline , Anomaly detection , Transfer Learning , Deep learning model development.

Web Developer (MERN Stack) Two Gems IT Solutions Contributed to the development of responsive and scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Collaborated with cross-functional teams to design and implement user-friendly interfaces and back-end APIs. Key Responsibilities: Built and maintained RESTful APIs for seamless communication between front-end and back-end. Designed dynamic, responsive user interfaces with React.js and modern CSS frameworks. Integrated MongoDB for efficient database management and optimized queries. Utilized Git for version control and collaborated using Agile methodologies.

Bytewise Limited | 100 Days of Machine Learning - Deep Learning Fellowship Duration: 3 months Gained hands-on experience in building and deploying machine learning models, including regression, classification, and deep learning architectures (CNNs, RNNs). Conducted data preprocessing, EDA, and model evaluation using metrics like accuracy and F1-score. Key Projects: Graduation Prediction: Built a linear regression model to predict graduation rates based on educational data. Hospital Readmission: Developed a classification model to identify high-risk patients using clinical data. Amazon Recommendation System: Designed a product recommendation engine using TF-IDF and cosine similarity, deployed via Streamlit.