I strongly believe in applying theoretical knowledge, and hence I have ensured to maximize my learning on projects during my time at organizations I have worked for and am currently working for. My first breakthrough was the summer internship that I did at Readyly, a New York-based startup, where I worked on an efficient ticket management software to provide an organization's customer support team with insights about team performance and provide agents with customer details to streamline customer query solving. I not only gained valuable exposure to machine learning algorithms through extensive research but was also enriched by the massive experience of my colleagues. I concluded my internship at Nokia Networks in May 2022, where I had been working on pipeline design and data processing for Nokia's ZTS technology, where my work revolved around machine learning algorithms and dockers. Currently, I am working as an analyst in software development for Eli Lilly, where I am actively engaged in harnessing the dynamic capabilities of the Microsoft Suite, including PowerApps, Power BI, and Power Automate, to drive innovation and efficiency in diverse business applications. With the guidance of a mentor, I gained hands-on experience with AWS Glue and AWS Lambda, tools that are not generally taught at the undergraduate level, and was successfully able to deploy my Python source code using cloud deployment. Internships at Readyly and Nokia and full-time employment at Eli Lilly helped me gain insight into a multitude of perspectives, add value to my knowledge, and broaden my own perspective regarding various matters.