Summary
Neil Pradhan is a Data Scientist with 8 years of experience applying machine learning, computer vision, and optimization to real-world problems across telecom, autonomous driving, and industrial automation. Currently at Ericsson, he builds predictive time-estimation and resource-allocation systems and has delivered anomaly and signature-detection solutions that streamline operations and sourcing workflows. His master's work at KTH produced novel deep reinforcement learning policies that improved autonomous highway fuel efficiency by 10–15% and stressed robustness to noisy inputs, reflecting a strong foundation in RL, TensorFlow, and simulation-based data collection. Comfortable bridging research and production, he combines robotics and control expertise (ROS, localization/filtering, motion planning) with practical data engineering and visualization skills. Outside core ML, Neil studies social sciences and cultural topics in Stockholm, suggesting a broader interest in human-centered aspects of technology and organizational dynamics.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Systems, Control and Robotics, Master of Science - MS, Systems, Control and Robotics at KTH Royal Institute of Technology
Bachelor of Technology (B.Tech.), Mechanical Engineering, 9.22/10.0 (Graduated with top 4 in class and 2 time Academic Excellence Award), Bachelor of Technology (B.Tech.), Mechanical Engineering, 9.22/10.0 (Graduated with top 4 in class and 2 time Academic Excellence Award) at Vellore Institute of Technology
Ethnic, Cultural Minority, Gender, and Group Studies, Ethnic, Cultural Minority, Gender, and Group Studies at Linn��universitetet
Social Sciences, Social Sciences at Stockholm University
English, Marathi, Hindi, German, Swedish, Sanskrit