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Abhiraj Darshankar
Applied Data Scientist at Microsoft
Education
• the university of texas at dallas
• pune institute of computer technology
Companies
• microsoft
• paccar
• wize
• the university of texas at dallas
• innoplexus
• mozeon digital labs
Experience
4.8 Years
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Experience
Graduate Research Intern [Cognitive Informatics and Statistics Lab]
the university of texas at dallas | Dallas/Fort Worth Area
2018 - 2018
Skills
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Amazon Web Services (AWS)
analytics
Artificial Intelligence (AI)
Azure
Big Data
Data Science
Data Scientist
Design
infra
Infrastructure
LESS
Machine Learning (ML)
marketing
Microsoft Azure
Natural Language Processing (NLP)
Networking
optimization
Parts-of-speech
Python
Reinforcement Learning
Research Scientist
Sales
servers
Sourcing
storage
strategy
Word2Vec
Contact Details
Email (Verified)
abhXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
the university of texas at dallas
Master of Science - MS
2017 - 2019
pune institute of computer technology
Bachelor's degree
2012 - 2016
Frequently asked questions
What company does Abhiraj Darshankar work for?
Abhiraj Darshankar works for microsoft
What is Abhiraj Darshankar role in his workplace?
Abhiraj Darshankar's role in his workplace is Data and Applied Scientist 2
What is Abhiraj Darshankar's tenure in his workplace?
Abhiraj Darshankar's tenure in his workplace is 2.51 years
What is Abhiraj Darshankar's total experience?
Abhiraj Darshankar's total experience is 4.75 years
What is Abhiraj Darshankar's LinkedIn profile?
What is Abhiraj Darshankar's email address?
What is Abhiraj Darshankar's phone/WhatsApp number?
What schools did Abhiraj Darshankar attend?
Abhiraj Darshankar has attended the university of texas at dallas, pune institute of computer technology
What companies has Abhiraj Darshankar worked with?
Abhiraj Darshankar has worked with microsoft, paccar, paccar, paccar, wize, the university of texas at dallas, innoplexus, mozeon digital labs
What are some of Abhiraj Darshankar's skills?
Abhiraj Darshankar has skills in Amazon Web Services (AWS), analytics, Artificial Intelligence (AI), Azure, Big Data, Data Science and more.
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