Summary
Shankar Adhikari is a data scientist and particle physicist with 11 years of experience applying machine learning and deep learning to large-scale physics experiments and big data problems. He holds a PhD in Particle Physics and has led complex analyses using Python, C++, ROOT, PySpark, TensorFlow and PyTorch while collaborating across large international research teams. His work spans statistical modeling, Monte Carlo simulation, image processing, NLP and distributed computing, with hands-on experience in production-ready ML pipelines and face recognition systems. As a postdoctoral fellow and current data scientist, he bridges academic research and industry practice—translating experimental physics challenges into scalable AI solutions. Based in Norfolk, Virginia, he brings a rare combination of domain expertise in fundamental physics and practical data engineering skills honed through capstone projects and applied research.
11 years of coding experience
Master's degree, Physics, Master's degree, Physics at Tribhuvan University, Kritipur, Kathmandu
Nonodegree program, Deep Learning, Nonodegree program, Deep Learning at Udacity
Certification, Certification at Springboard Data Science Career Track
Doctor of Philosophy (Ph.D.), Particle Physics, Doctor of Philosophy (Ph.D.), Particle Physics at Florida International University
English, Nepali, Hindi