About

Bhavya Bhatt is an accomplished software engineer with a passion for theoretical physics and mathematics. With over 3 years of relevant experience, Bhavya is currently serving as an Associate Lead Data Scientist at Bajaj Finserv. In her current role, she is responsible for developing data-driven solutions to improve business outcomes. Bhavya is also an author of the Python package 'PyGlow - Information Theory of Deep Learning', which has gained recognition in the data science community. She has also invented Spontaneous Collapse Model (GRW) Path Integrals, which is a groundbreaking contribution to theoretical physics. Additionally, Bhavya is a co-author of the Python package 'EinsteinPy - Numerical Relativity in Python', which is widely used in the field of numerical relativity. Before joining Bajaj Finserv, Bhavya worked as a Back End Developer at toppr and as a Project Student at the Indian Institute of Science Education and Research, Pune. During her time at IISER Pune, Bhavya applied machine learning techniques to estimate optimal parameters for probabilistic models of collision centrality distributions and applied the same techniques to the Pb-Pb Collision ATLAS dataset. Bhavya holds a B.Tech in Computer Science from the Indian Institute of Technology, Mandi. She has a strong technical skill set that includes backend development, data science, research science, Python, test, deep learning, software engineering, and machine learning. In summary, Bhavya Bhatt is an accomplished software engineer and data scientist with a passion for theoretical physics and mathematics. With her extensive experience and technical expertise, she has made significant contributions to the field of data science and theoretical physics.