Summary
Prince Bari is a Senior Data Scientist based in Gujarat, India, with three years of hands-on experience turning complex datasets into high-impact ML and deep learning solutions. He has progressed from a machine learning research intern at NIELIT—where he published Springer papers and built a 99.12% accurate SMS/Email spam classifier—to senior roles at dataVediK delivering production-ready models. His technical toolkit spans Python, SQL, CNNs, NLP, time-series forecasting and computer vision, applied across projects from malaria detection and cancer diagnosis to electricity load forecasting and self-driving car prototypes. Prince combines rigorous academic grounding in computer engineering (9.01 CGPA) with practical course training and a diverse project portfolio showing both research depth and product-oriented execution. He’s as comfortable authoring conference papers as he is iterating models for deployment, and he has a proven knack for squeezing signal out of noisy, real-world data. Colleagues would describe him as a curious problem-solver who seeks novel applications of ML rather than off-the-shelf solutions.
3 years of coding experience
2 years of employment as a software developer
Gujarat Technological University
HSC, Science, HSC, Science at Gujarat Secondary and Higher Secondary Education Board, Gandhinagar
English, Hindi, Gujarati