About

Bhavya Kalra is a highly skilled Data Scientist with a proven track record of delivering innovative solutions across a range of industries. With over 7 years of relevant experience, Bhavya has a strong background in research and development, machine learning, computer vision, and software engineering. Currently, Bhavya is working as a Graduate Research Assistant at the International Institute of Information Technology, where she is working on her thesis, which focuses on learning in high-risk settings. In this role, Bhavya has proposed and established the properties for new binary and multi-class loss functions, which incorporate an additional choice of refraining from taking any classification decision on ambiguous samples. Prior to her current position, Bhavya worked as a Data Analyst and Software Developer at Pentagram Research Centre, where she contributed to the development of a mathematical model for understanding crime and built a crime prediction system for a US-based firm achieving high accuracy. She also designed and implemented a scalable application for information extraction, indexing, and analysis on a multi-million entry live crime database. Bhavya has also worked as an ML Intern at Cyrrup Solutions, where she built a computer vision model for helping drivers and trained the system to avoid collisions by tracking distance from nearby cars. Bhavya has a Master of Science degree in Computer Science from the International Institute of Information Technology and a Bachelor of Technology degree in Computer Science from the University of Petroleum and Energy Studies. She is proficient in Python, AWS, Logistic Regression, ANN, SQL server, HOG(object detection), SVMs, HSI color model, and has experience working with technologies such as OpenCV, TensorFlow, PyTorch, Spark, and Pandas. In summary, Bhavya Kalra is a talented and experienced Data Scientist with a passion for solving complex problems using innovative technologies. She is a quick learner and an excellent team player who is always eager to take on new challenges.