Computer Science Undergraduate | Machine Learning and Application Development
Computer Science undergraduate with proficiency in Python and hands-on experience in machine learning, SQL, automation systems, and lightweight web interfaces.
CodSoft
Implemented supervised learning models on real-world datasets; performed data preprocessing, feature engineering, and evaluation using classification metrics; completed assigned machine learning tasks and received an internship certification.
Bachelor of Technology (B.Tech), Computer Science & Engineering
Expected graduation: 2027
CGPA: 7.3
Developed a voice-controlled automation system capable of launching applications, executing web searches, and processing commands. Integrated speech recognition, text-to-speech modules, API handling, and modular Python architecture.
Built an NLP-based classification model using supervised learning techniques and optimized performance through preprocessing and feature extraction.
Implemented a multi-class predictive model using structured metadata features and evaluated performance using classification metrics.
Designed a predictive model for imbalanced transaction datasets using normalization and precision-focused evaluation strategies.
Created a simple HTML/CSS-based interface to demonstrate trained machine learning model predictions and improve usability.