About

Subhadeep Ghosh is a highly skilled ADAS Sensorics Engineer and Mathematician with over four years of work experience. He has a demonstrated history of research and development in AI, image processing, and embedded vision. Currently working as a Data Scientist - Credit Risk Analysis at Propelld, Subhadeep is responsible for training a student selection model based on pre-defined parameters of past academics, performance in logical/cognitive tests, communication, and traditional credit metrics. He has arrived at weightages heuristically as a base model by interviewing subject matter experts. Subhadeep has expertise in using Decision Tree Regression models to predict the salary of any new student given their current pedigree and identify the most important dependent variables and the respective strata. Subhadeep has previously worked as a Radar Algorithm Developer at Continental, where he worked in the estimation of road curvature from radar measurements, using a novel approach that combines State Space Time Series Models, Deep Recurrent/Convolutional Neural Networks based Kalman filters, SVM, and unsupervised clustering algorithms for radar image analysis. He has also worked as a Summer Research Intern at the Indian Institute of Technology (Indian School of Mines), Dhanbad. Subhadeep is currently pursuing a Master of Science degree in Computer Vision, Robotics & Machine Learning from the Centre for Vision, Speech and Signal Processing at the University of Surrey, which he is expected to complete in December 2022. He has previously completed an Integrated BS - MS in Mathematics & Computing from Birla Institute of Technology, Mesra, and a PGP in Machine learning, Big Data Analytics & Optimization from Carnegie Mellon University. Subhadeep's technical skills include AI, Research Scientist, SVM, Image Processing, Neural Networks, Data Scientist, and Perceptron. He has 3.78 years of relevant experience and is looking to join a scientifically adept organization as an AI/Robotics Engineer in its research team.