Summary
Prakhar Dogra is a Data Scientist with 11 years of experience specializing in Python-driven machine learning and deep learning for large-scale image and video data. Currently at Conduent, he architected and sped up an end-to-end Vehicle Passenger Detection System, incorporating face redaction, vehicle classification and edge inference on Nvidia Jetson TX2. He holds a MS in Computer Science from George Mason University and an Executive MBA in Business Analytics, blending rigorous technical depth with product and business sensibilities. Comfortable across frameworks like PyTorch, TensorFlow, Caffe and Darknet, he has hands-on experience managing terabytes of image data and automating ML workflows. Pragmatic and research-oriented, he also builds tooling (APIs, R-Shiny apps) that bridges model development and operational deployment.
11 years of coding experience
2 years of employment as a software developer
High School, Major in Mathematics and Computer Science, 93.8%, High School, Major in Mathematics and Computer Science, 93.8% at D.A.V. Public School, Dayanand Vihar
Executive MBA, Business Analytics, 3.65 GPA, Executive MBA, Business Analytics, 3.65 GPA at NMIMS Global
Master's degree, Computer Science, GPA 3.8, Master's degree, Computer Science, GPA 3.8 at George Mason University
Bachelor of Technology (B.Tech.), Computer Engineering, GPA 3.5, Bachelor of Technology (B.Tech.), Computer Engineering, GPA 3.5 at Delhi College of Engineering
Hindi, English