Hi😃 🔰Welcome to my LinkedIn profile! I'm a passionate Data Engineer at Mercedes Benz R&D India, leveraging my expertise in data engineering and data science to drive impactful solutions. With a strong educational background, including a postgraduate degree in Mathematics and Computing from IIT Patna and a BTech in Computer Science and Engineering, I bring a comprehensive skill set to the table. 🔰During my postgraduate studies, I focused my research on the intriguing problem of author name disambiguity in digital library systems. My thesis explored the application of Graph Convolution Networks with graph motif structures to enhance disambiguation accuracy, showcasing my ability to utilize cutting-edge techniques in solving complex challenges. 🔰Prior to joining Mercedes Benz, I had the opportunity to intern at Novartis Hyderabad as part of their Global Drug Development Program. Here, I collaborated closely with the R&D team on the IRIS project, which utilized AI and Deep Learning for pill feature extraction. This experience deepened my understanding of machine learning algorithms and reinforced my passion for leveraging technology to make a positive impact. 🔰At Mercedes Benz, I primarily focus on data engineering within the Azure cloud infrastructure. I design and implement robust data pipelines, ensuring the seamless collection, storage, and processing of large-scale datasets. Additionally, I have proposed and implemented data science solutions for process optimization in various projects, showcasing my versatility and problem-solving abilities. 🔰My technical skill set includes proficiency in Databricks, Spark, SQL, C, Python and its libraries, Flask, TensorFlow, enabling me to tackle complex data engineering and data science tasks with ease. I am constantly diving deeper into the world of data science and engineering, staying up-to-date with the latest advancements and expanding my knowledge base. 🔰If you're interested in connecting or exploring opportunities in the realm of data engineering, data science, or collaborative projects, please don't hesitate to reach out. Let's connect and discover how we can leverage data to drive innovation and achieve remarkable results together.