Included five projects - Predicting Bike-Sharing Data - Dog Breed Classifier -Deploy a Sentiment Analysis Model

NLP pipeline for classifying sentiment in financial news and generating weekly summaries of market-moving events. Supports sentiment-informed investment analysis.

End-to-end ML platform for Yelp business recommendations and sentiment analysis. Features collaborative filtering (ALS), NLP classification, FastAPI REST API, PySpark data processing, MLflow tracking, Docker deployment, and CI/CD automation. Academic/research project demonstrating production ML engineering.

Deploy a Sentiment Analysis Model : Udacity - Machine Learning Engineer Nanodegree Program

Tweets data analysis and dashboard with streamlit

An intelligent speech recognition system that combines OpenAI's Whisper for accurate transcription with dual emotion detection models. Analyzes both audio characteristics (tone, pitch, intensity) and textual content to provide comprehensive emotional context alongside transcriptions.

🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.