About

Anubhav Tyagi is a passionate computer science enthusiast with a keen interest in machine learning and reinforcement learning. He completed his Bachelor's in Computer Science and Engineering from Indian Institute of Technology, Guwahati, where he was introduced to fundamental concepts of computer science such as data structures and algorithms, databases, and operating systems. Anubhav started his programming journey by solving coding problems on online platforms and went on to work on projects in various domains including web development, android programming, and machine learning. He also gained insightful experience of the corporate world as an intern at Goldman Sachs, where he worked with the Data Strategy Team in the Global Investment Research Division and automated the calculation of Macro Data Assessment Platform (MAP) scores using Python and Pandas. Currently, Anubhav is diving deeper into the field of ML and RL and is also exploring the world of open source. He believes that curiosity, enthusiasm to learn, collaboration, and teamwork are essential in developing technologies that create an impact on the world. Anubhav's education history includes a Bachelor of Technology in Computer Science from Indian Institute of Technology, Guwahati, and Senior and Secondary Secondary education from Shaheed Rajpal DAV Public School in India. He has also worked as a Backend Developer at Indian Institute of Technology, Guwahati, where he developed a Django-based website for students to share blogs and information about campus events and club activities. Anubhav's tech stack includes skills in research, machine learning, web development, android programming, backend development, Pandas, and Python. With 2.11 years of relevant experience, Anubhav is a dedicated and skilled professional who is always eager to learn and grow in his field.