About

Jagat Chaitanya Prabhala is a seasoned professional with over 16 years of experience in the software engineering and data science domains. He is a Ph.D. scholar and a digital transformation leader who has worked in both product and consulting setups. Jagat has a unique ability to identify unaddressed problems and develop solutions that combine software and data science. He is technology agnostic and can leverage the power of modern engineering stacks to help companies stay relevant. Jagat has executed several successful data science projects across various domains for B2B and B2C companies. He has headed large technical teams consisting of data scientists and software engineers at many giant consulting and product firms. He is the chief architect of many innovative projects such as speech-based fraud detection, enterprise search engine, and automated machine learning platforms. Jagat has also been a speaker at multiple conferences in academia and has trained and mentored many IT professionals and data scientists. His interests include artificial intelligence, machine learning, deep learning, big data, full stack, software architecture, stakeholder management, project and product management, blockchain, and design. Currently, Jagat is working as a Senior Analyst at Global Analytics. He has previously held positions such as Senior Analyst at Novartis Healthcare Pvt Ltd and Senior Manager - R&D at Global Analytics. Jagat has a strong educational background with a Bachelor of Science in Mathematics from Osmania University, an M.Sc in Mathematics from the University of Hyderabad, and he is currently pursuing a Ph.D. in Mathematics and Computer Science from NIT. Jagat's technical expertise includes data science, machine learning, blockchain, product management, deep learning, big data, search, senior software engineering, and software engineering. With 14.11 years of relevant experience, Jagat is a highly skilled and accomplished professional who can drive digital transformation and help organizations stay ahead of the curve.