- Developed, maintained, and deployed end-to-end ETL pipelines using Python, incorporating data from web scraping, external APIs, and various other sources. Ensured efficient data ingestion, processing, and monitoring via REST API endpoints.- Implemented scalable data storage and handling solutions to support the load phase in data pipelines, ensuring smooth and reliable data integration across platforms.- Designed and deployed advanced data visualization and analytics dashboards to provide real-time insights, featuring interactive elements and automated machine learning capabilities. These dashboards enabled users to input data, train models, and access predictive insights seamlessly.- Heavily involved in machine learning projects, performing extensive experimentation with ML and DL models, feature selection/engineering, model selection, and deployment. Employed a CI/CD approach to streamline integration, deployment, and continuous monitoring of models in various production environments.