End-to-end analysis of 50,000+ Airbnb listings using Random Forest and XGBoost, achieving 85% accuracy in price prediction. Created interactive visualizations with Seaborn and Plotly for market insights.

Comprehensive ETL pipeline for Reddit data using Apache Airflow, Celery, and AWS services (S3, Glue, Athena, Redshift). Implemented automated data extraction and warehouse loading processes.

LSTM neural network implementation for Tesla stock price prediction. Analyzes historical data patterns to forecast future price movements using deep learning techniques.

End-to-end data engineering pipeline using Apache Kafka, Spark, and Cassandra. Containerized with Docker for scalable deployment and real-time data processing.

Analysis of World Bank's international debt statistics, examining global economic patterns and debt distributions across developing countries.

Analytics dashboard analyzing 20,000+ data science job postings. Features salary distributions, geographical trends, and skill demand patterns across major tech companies.