overview
- 2022
- Skillfully
- Participated in comprehensive Induction Training, covering JAVA, Spring Boot, React.js, and Git/Github, gainingfoundational
- Projects
- HemoScribe: Tobacco Use Profiler, (Python, Machine Learning, Data Visualization, Flask, Streamlit
- Conducted
- Utilized Principal Component Analysis (PCA), hyperparameter tuning, and implemented 8 different Machine Learning models to
- Developed a
- Demonstrated
- Gesture Recognition System - (Computer Vision, Web Development), (Python, JavaScript, Django, OpenCV, Mediapipe
- Designed and implemented a
- Utilized OpenCV and Mediapipe to analyze and translate gestures, highlighting my adaptability and precision
- Created aseamless, low-latency website using Django, reflecting my commitment to enhancing user experiences and contributing
- Chickfork - The Restaurant App, (React, Node, Express, MongoDB, React-Context, REST-APIs
- MERN stack restaurant webpage with dynamic features
- Utilized HTML/CSS, Bootstrap, React.js, and React Hooks for frontend and Node.js, and Express.js for backend functionality
- Implemented Add To Cart, Remove from Cart, Axios data fetching, and Node-basedJWT authentication for a smooth ordering tasks
- Utilized MongoDB for efficient data management demonstrating skills applicable to elevating customer interactions