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Projects
Research projects, ML implementations, and competition solutions.
[01]
Neural Text Summarization: Comparative Analysis of Transformer Architectures
Comparative study of BART and T5 architectures for automated news summarization, including sentiment-aware evaluation and ROUGE-based benchmarking.
TransformersBARTT5NLTKSentiment AnalysisROUGE Evaluation
[02]
Multi-Label Classification System for Financial Recommendations
Built a multi-label recommendation system for Isbank using one-vs-all XGBoost with feature engineering and ensemble strategies for improved predictive performance.
XGBoostMulti-Label ClassificationFeature EngineeringFinancial AnalyticsKaggle
[03]
Machine Learning Algorithm Implementations
Collection of practical machine learning implementations, including boosting, ensemble techniques, and feature engineering workflows applied to real-world datasets.
XGBoostEnsemble MethodsFeature EngineeringData ScienceAlgorithm Implementation