About

Pranjal Mishra is a final year Computer Science undergraduate at MIT, Manipal, with a strong interest in Data Science, Machine Learning, and Software Development. With proficiency in Python, SQL, Jupyter notebooks, Tensorflow, and various DS libraries, he has the technical skills to tackle complex problems in these domains. Pranjal has experience working in high-functioning multi-disciplinary teams, having led the coding division at Robomanipal, Manipal's official robotics student project. Pranjal has worked as a Data Science Intern at Kreditbee, a fintech platform that facilitates loan transactions between borrowers and NBFCs and banks. In this role, he built credit risk models to analyze and quantify risk for every customer, applied statistical metrics to evaluate and improve classification models, and used Python, Jupyter, and Sklearn for the project. He has also worked as a Project Intern at Nokia, where he demonstrated methods of utilizing the Robot Operating System (ROS) with non-ROS robots and simulation environments, using Python, ROS, Gazebo, and Unity. Currently, Pranjal is a Software Engineer Intern at McKinsey & Company, where he is gaining valuable experience in the field. Pranjal's tech stack includes Software Engineering, Jupyter, Data Science, SQL, Python, Machine Learning, Javascript, Tensorflow, and Scikit. Outside of work, Pranjal is a football and F1 enthusiast. He is open to internship and full-time opportunities and is expected to graduate in December 2023. With his technical skills, experience, and passion for technology, Pranjal would be a valuable addition to any team looking to tackle complex problems in the Data Science, Machine Learning, and Software Development domains.