Computer Science Engineering student with a strong foundation in Python, Machine Learning, Artificial Intelligence, and Web Development. Experienced in developing AI-driven applications, machine learning models, and web-based solutions through academic projects and hackathons. Passionate about building innovative, user-centric software and eager to contribute to real-world technology solutions.
Developed a machine learning model to analyze and predict climate risk levels using environmental and historical datasets. Performed data preprocessing, missing-value handling, and feature engineering to improve model performance. Implemented predictive algorithms and evaluated results using performance metrics for accurate risk assessment.
Collaborated in developing a legal assistance application aimed at simplifying access to legal information for users. Designed features to improve accessibility and user interaction through a simple and intuitive interface. Participated in ideation, implementation, and testing during a competitive hackathon environment.
Developed an AI-driven platform for social media trend analysis and automated content generation using NLP techniques. Implemented keyword extraction, topic detection, and engagement analysis for identifying high-performing content. Designed a scalable workflow for data collection, preprocessing, and AI-based content generation.