Dynamic Machine Learning & Data Science Intern at PHN Technology, adept in Python and advanced deep learning. Excelled in predictive analytics, enhancing model accuracy by over 30%. Skilled in JavaScript, demonstrated through impactful front-end development at Prabhavati Digital Service. Combines analytical problem-solving with strong communication, driving project success.
Environmental Game Development - Green Guardians Elemental Clash, Designed and developed an RPG game focused on environmental awareness. Published on Core Games, promoting critical thinking on sustainability. One-Shot Image Face Recognition System, Built a facial recognition system using a Siamese Neural Network in Python. Applied deep learning techniques to achieve high accuracy in individual face recognition. Webathon Winning Project, Developed a business website for a hypothetical university in 24 hours, winning first place. Implemented a responsive UI with HTML, CSS, and JavaScript.
Disease Prediction System, Forthcoming Publication, Developed a predictive model for disease diagnosis using Naïve Bayes, Random Forest, and K-Nearest Neighbors (KNN)., Conducted data preprocessing, feature selection, and hyperparameter tuning to improve model accuracy., Evaluated performance using precision, recall, F1-score, and ROC-AUC metrics., Integrated statistical hypothesis testing and cross-validation techniques to ensure robustness., The research paper is currently under review for publication.