Explore my complete portfolio of data science and machine learning projects. Each project showcases practical applications of AI, deep learning, and advanced analytics.
Built an NLP model to analyze customer sentiment from social media data with 94% accuracy using BERT and transformers.
Developed a convolutional neural network for multi-class image classification achieving 96% validation accuracy.
Created an interactive dashboard for sales forecasting using time series analysis and machine learning models.
Implemented an intelligent chatbot using large language models for customer support automation.
Developed an unsupervised learning system to detect fraudulent transactions in real-time financial data.
Machine learning model to predict student performance and identify at-risk students for early intervention.
Real-time object detection using YOLO algorithm for autonomous vehicle applications with 89% mAP score.
Predictive model to identify customers at risk of churning, enabling proactive retention strategies.
Automatic document summarization using transformer models, reducing reading time by 80% while preserving key information.