Profile
    Dakshinamurthy V Kolluru

    DakshinamurthyVKolluru

    Founder and President INSOFE
    2018
    Edition

    About

    Dr. Dakshinamurthy V Kolluru is regarded as one among the most prominent personalities in the field of Analytics in India. His experience includes a formidable combination of training, consulting and research in Data Science offered in US, UK, India Middle East fortune companies for over 17 years. His expertise lies in simplifying complex ideas and communicating them clearly and excitingly. He has worked extensively in Data Science with majority of his work pertaining to mathematical algorithms and pattern extraction. He has helped set-up several Data Science COEs. He is the Founder, President & Chief Mentor of INSOFE (International School of Engineering), an organization that champions Training & Certification, Consulting, Research and Product Development in Data Science / Big Data Analytics. Earlier, he founded Globarena in the year 2000, a successful skills development company, where he was instrumental in building LMS driven by Machine Learning Systems and Artificial Intelligence. He has worked as a Scientist with Defence Metallurgical Research Laboratories, India where he had worked on some prestigious projects. He was Chief Research Officer with Prithvi Information Solutions, India. Prominent credentials  Binani Gold Medal for working under the guidance of Dr. A P J Abdul Kalam to indigenously develop Radome, a critical component for Agni Missile (ICBM).  Recognized as one among the top 10 most prominent Analytics Academicians in India. www.insofe.edu.in INSOFE Education Private Limited HYD: 2nd Floor, Jyothi Imperial, Vamsiram Builders, Janardana Hills, Gachibowli, Hyderabad – 500032 BLR: INCUBEX – HSR2, L77, 15th Cross Road, Sector 6, HSR Layout, Bengaluru - 560102 Contact Number: +91-9618483483/9502334561 http://www.insofe.edu.in; Email: info@insofe.edu.in Research Interests: Machine Learning, Optimization, Artificial Neural Networks, Deep Learning, Text Mining, Mathematical Algorithms, and Pattern Extraction.

    Sessions

    Why Is AI Business-Friendly?

    Sep 26, 201816:00:00 - 16:35:00Hall 1