Developed an IoT-based Industrial Monitoring Solution using AWS for, enhancing efficiency .Proficient in JavaScript (ES6), React JS, Node JS, and Express JS, I drove an increase in user engagement through dynamic interfaces and reduced response times by 20% with Node.js. My RESTful APIs using Express.js improved data retrieval efficiency by 15%, Unit Testing with a Code Coverage of 100% with comprehensive Jest testing. Agile in Scrum teams, have a grasp of AWS services, delivering high-quality solutions.

In just one month at FUEL Organization's AI with Python course, I've acquired a versatile skill set for AI and data analysis. Proficient in Python, I can code effectively. I grasp AI concepts and machine learning principles, enabling data-driven decision-making. Soft skills training improved communication and teamwork. AMCAT assessment showcases my employability. LinkedIn Learning keeps me updated. Excel skills aid data manipulation. I can collect, clean, and analyze data, and create compelling visualizations with Tableau.My progress: completed Multiple programming assignments, implemented ML algorithms (Linear Regression , Logistic Regression , Forest Forest ) with 80-90 % accuracy. Completed soft skills program(Group Discussion ,Public Speaking, Time Management), scored a decent score in AMCAT, and spent 90-100 hours on LinkedIn Learning. Used Excel skills in data analysis, and Tableau enabled E insightful data visualizations.In one month, FUEL's AI with Python course transformed me into a well-rounded AI practitioner with technical prowess and soft skills, ready to contribute to the evolving field of AI.

Knowledge of Software Development Life Cycle. Knowledge on Levels of Testing. Knowledge of Types of Testing. Knowledge of Functional and Non Functional Testing. knowledge of Software, Test Life Cycle Knowledge of Writing Test cases Knowledge of Defect Tracking tool and SQL