A collection of research projects, machine learning implementations, and software solutions demonstrating expertise in data science, AI, and software engineering.
Neural Text Summarization: Comparative Analysis of Transformer Architectures
A comprehensive research project analyzing the effectiveness of BART and T5 transformer models for automated news summarization. Implemented sentiment analysis pipelines to evaluate summary quality across different emotional contexts and content types. Achieved significant improvements in ROUGE scores through model ensemble techniques.
Multi-Label Classification System for Financial Recommendations
Developed a sophisticated recommendation engine for Isbank using one-vs-all XGBoost methodology for multi-label classification. Implemented advanced feature engineering techniques and ensemble methods to optimize prediction accuracy. Successfully deployed solution achieving top performance in competitive data science challenge.
Machine Learning Algorithm Implementations
Comprehensive collection of machine learning implementations including gradient boosting techniques, ensemble methods, and advanced feature engineering approaches. Repository showcases practical applications of various ML algorithms on real-world datasets with detailed performance analysis and optimization strategies.
Personal Portfolio & Research Platform
Modern, responsive personal website built with Next.js and TypeScript, featuring a dynamic blog system, project showcase, and interactive media gallery. Implements advanced UI/UX principles with theme switching, animated components, and optimized performance. Serves as a platform for sharing research insights and professional work.
SoundBoost.ai: AI-Powered Audio Enhancement Platform
Advanced audio processing platform leveraging machine learning for intelligent sound enhancement and music visualization. Integrates multiple AI models for real-time audio analysis, quality improvement, and generative visual content creation. Currently in development with focus on professional audio applications.
Interested in Collaboration?
I'm always open to discussing new projects, research opportunities, or innovative applications of machine learning and AI.