Abhishek Patel

Developed a real-time sentiment analysis tool using Python and NLTK that processes social media data with 92% accuracy.

LSTM-based neural network model that predicts stock prices with 87% accuracy using historical data and technical indicators.

Implemented K-means clustering to segment retail customers into distinct groups based on purchasing behavior.

Built an isolation forest model to detect fraudulent transactions with 94% recall on imbalanced dataset.

Collaborative filtering system that suggests movies based on user preferences with cosine similarity.

Transformer-based chatbot trained on customer service conversations with intent recognition.