Automated AWS resource management tasks with Python scripts, increasing operational efficiency. - Streamlined PostgreSQL database operations by optimizing queries and indexing, resulting in a 30% reduction in query execution time and improved data retrieval speeds for critical applications. - Implemented advance monitoring and alerting systems using AWS CloudWatch and SNS, leading to a 40% reduction in downtime and ensuring high availability for deployed applications. - Developed “RuralHub” with Django for robust backend operations and PostgreSQL for reliable data management. - Utilized React to create a dynamic and responsive user interface, ensuring seamless interaction. - Integrated OAuth 2.0 for Single Sign-On capabilities, enabling users to access application quickly and securely with a single set of credentials. - Built a real-time emotion detection app with Python, OpenCV, and Flask, recognizing emotions from live video feeds. - Implemented the Beier-Neely algorithm for image morphing between two distinct human faces, achieving smooth blending and transformation effects. - Developed a distributed file system using Python/Django for efficient data management across multiple servers. - Extracted product reviews and ratings data from Amazon using Parsehub web scraper. Performed exploratory data analysis on review datasets using NLP techniques like Count Vectorizer and Vader for sentiment classification.…Automated AWS resource management tasks with Python scripts, increasing operational efficiency. - Streamlined PostgreSQL database operations by optimizing queries and indexing, resulting in a 30% reduction in query execution time and improved data retrieval speeds for critical applications. - Implemented advance monitoring and alerting systems using AWS CloudWatch and SNS, leading to a 40% reduction in downtime and ensuring high availability for deployed applications. - Developed “RuralHub” with Django for robust backend operations and PostgreSQL for reliable data management. - Utilized React to create a dynamic and responsive user interface, ensuring seamless interaction. - Integrated OAuth 2.0 for Single Sign-On capabilities, enabling users to access application quickly and securely with a single set of credentials. - Built a real-time emotion detection app with Python, OpenCV, and Flask, recognizing emotions from live video feeds. - Implemented the Beier-Neely algorithm for image morphing between two distinct human faces, achieving smooth blending and transformation effects. - Developed a distributed file system using Python/Django for efficient data management across multiple servers. - Extracted product reviews and ratings data from Amazon using Parsehub web scraper. Performed exploratory data analysis on review datasets using NLP techniques like Count Vectorizer and Vader for sentiment classification.WWWW…