My career has been shaped by curiosity, perseverance, and a belief in the power of continuous learning. Starting with a background in electrical engineering and early experience in the steel manufacturing industry, I soon realized I wanted to explore my passion for coding and problem-solving in greater depth. This led me to explore various fields like software development, web development, and business analytics, eventually discovering a strong affinity for data science. Transitioning to a new field wasn’t easy, but I was committed to pursuing what truly excited me. After leaving my initial job, I focused on building my expertise in data science, which led to a role at L&T Financial Services. There, I worked on impactful projects that contributed to key business decisions. At Microsoft, I’ve had the opportunity to tackle a range of challenges, from solving complex business problems to developing technical solutions in Azure. My work spans across data science, software engineering, NLP, and machine learning, allowing me to integrate and apply these skills to real-world problems. I’ve also continued to learn, diving into areas like generative AI and taking up an online master’s degree. What drives me is the opportunity to use my skills to make a difference, whether it's through data-driven insights, innovative algorithms, or scalable systems. My journey has been about continuous growth and finding new ways to contribute, with the hope that others can see that it’s possible to evolve and thrive, no matter where you start.