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Rik Das, Ph.D. (Tech.)
Lead Data Scientist (Computer Vision and Research), Siemens Advanta || ACM Distinguished Speaker, ACM, USA
Education Overview
• university of calcutta
• university of burdwan
Companies Overview
• siemens
• xavier institute of social service
• swayam mhrd
• svkms nmims mukesh patel school of technology management engineering
• globsyn business school
• dinabandhu andrews institute of technology management
• bengal institute of technology
• zenith
• great eastern impex private limited. andheri
Experience Overview
14.7 Years
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Contact Details
Email (Verified)
rikXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
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Frequently asked questions
What company does Rik Das, Ph.D. (Tech.) work for?
Rik Das, Ph.D. (Tech.) works for siemens
What is Rik Das, Ph.D. (Tech.) role in their workplace?
Rik Das, Ph.D. (Tech.)'s role in their workplace is Lead Software Engineer (Artificial Intelligence Unit), Siemens Advanta
What is Rik Das, Ph.D. (Tech.)'s tenure in their workplace?
Rik Das, Ph.D. (Tech.)'s tenure in their workplace is 3.17 years
What is Rik Das, Ph.D. (Tech.)'s total experience?
Rik Das, Ph.D. (Tech.)'s total experience is 14.67 years
What is Rik Das, Ph.D. (Tech.)'s LinkedIn profile?
What is Rik Das, Ph.D. (Tech.)'s email address?
What is Rik Das, Ph.D. (Tech.)'s phone/WhatsApp number?
What schools did Rik Das, Ph.D. (Tech.) attend?
Rik Das, Ph.D. (Tech.) has attended university of calcutta, university of calcutta, university of burdwan
What companies has Rik Das, Ph.D. (Tech.) worked with?
Rik Das, Ph.D. (Tech.) has worked with siemens, xavier institute of social service, swayam mhrd, xavier institute of social service, xavier institute of social service, xavier institute of social service, svkms nmims mukesh patel school of technology management engineering, globsyn business school, dinabandhu andrews institute of technology management, bengal institute of technology, zenith, great eastern impex private limited. andheri
What are some of Rik Das, Ph.D. (Tech.)'s skills?
Rik Das, Ph.D. (Tech.) has skills in Artificial Intelligence (AI), Automation, Computer Vision, Data Scientist, Deep Learning, Education and more.
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