About

Sarvesh Kumar is a highly skilled Data Scientist with over 6 years of experience in mathematical modeling, signal and image processing, time series analysis, optimization, and deep neural networks. He has a strong background in research and has authored/co-authored multiple journal publications. Sarvesh has a wide range of software and programming experience, including C/C++, Matlab, Mathematica, Python, R, SQL, Git, Docker, Hadoop, and Pyspark. He possesses strong numerical, quantitative, and analytical skills, and has hands-on experience in statistical learning, big data analytics, deep learning, NLP, and genetic algorithms. Currently, Sarvesh is working as a Senior Data Scientist at Medikabazaar, where he is responsible for developing and implementing algorithms for predictive modeling, data mining, and machine learning. Prior to this, he worked as a Data Scientist at Auriss Technologies and as a Teaching Assistant at the Indian Institute of Technology, where he taught undergraduate courses in calculus, probability, statistics, stochastic processes, and differential equations. Sarvesh holds a Doctor of Philosophy (PhD) in Mathematics from the Indian Institute of Technology, Madras, and a Master's degree in Mathematics from the same institution. He also has a Bachelor of Applied Science (B.Sc.) in Computer Science from Delhi University. Sarvesh's technical skills include research scientist, NLP, SQL, image processing, deep learning, ML, Python, Docker, neural networks, AWS, big data, Hadoop, AI, C, Kubernetes, DevOps, web, Terraform, Apache Airflow, CI/CD, QA, MySQL, Jenkins, search, Flask, integration, UI, and infra. Sarvesh's relevant experience in the field of data science is 6.79 years.