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1. Audio-Classification-ESC50 Audio-Classification-ESC50 Public

   Audio Classification model achieving 73% accuracy on the ESC-50 Dataset. approaching human level performance of 81.3%.

   Python

2. Sentiment-Analysis-BiLSTM-Attention Sentiment-Analysis-BiLSTM-Attention Public

   A PyTorch implementation of a Bidirectional LSTM with Attention for sentiment analysis, achieving 89.3% accuracy on Amazon, IMDB, and Yelp reviews.

   Python

3. Recommendation-API-with-Sentence-Transformers Recommendation-API-with-Sentence-Transformers Public

   A production-ready Recommendation API using Sentence Transformers (BERT) to generate embeddings for advanced semantic similarity matching between user and brand profiles.

   Python

4. Churn-Prediction-XGBoost Churn-Prediction-XGBoost Public

   Predicts customer churn using XGBoost, comparing a baseline model against hyperparameter optimization via RandomizedSearchCV, including preprocessing and EDA.

   Python

5. Multi-Agent-Algorithm-Contest-CS188-Berkeley Multi-Agent-Algorithm-Contest-CS188-Berkeley Public

   Achieved 1st place out of 591 student contestants in a Python/AI coding contest at UC Berkeley

   Python

6. Telecom-Customer-Segmentation Telecom-Customer-Segmentation Public

   Segments telecommunications customers using K-means clustering to identify distinct groups and analyze churn patterns, enabling targeted retention strategies.

   Python