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Ravi Teja Kankanala
AI, Multi-Cloud & Security | Senior Staff @ Netskope
Education Overview
• iit madras indian institute of technology madras
Companies Overview
• netskope
• bayer
• xtream it labs
• ericsson
• xilinx rd
Experience Overview
14.9 Years
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Experience
Lead Architect, Head of Data Science
xtream it labs | Albany, New York Area and Hyderabad, India
2012 - 2016
Skills
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Amazon Web Services (AWS)
analytics
Applied Machine Learning
architecture
Artificial Intelligence (AI)
auditing
Automation
Big Data
Big Data Analytics
Coaching
Data Analytics
Data Architecture
Data Engineering
Data Science
Data Scientist
Design
Distributed Systems
Excel
Google Cloud Platform (GCP)
Healthcare
infra
Infrastructure
Kubernetes
Leadership
Machine Learning (ML)
market research
Research
Research Scientist
SaaS
security
Senior Software Engineer
Service-Oriented Architecture (SOA)
Site Reliability Engineering
SOA
SRE
storage
strategy
Contact Details
Email (Verified)
ravXXXXXXXXXXXXXXXXXXXXXXXomMobile Number
518XXXXX11Education
iit madras indian institute of technology madras
Btech
2005 - 2009
Frequently asked questions
What company does Ravi Teja Kankanala work for?
Ravi Teja Kankanala works for netskope
What is Ravi Teja Kankanala role in his workplace?
Ravi Teja Kankanala's role in his workplace is Senior Staff Cloud & SRE
What is Ravi Teja Kankanala's tenure in his workplace?
Ravi Teja Kankanala's tenure in his workplace is 3.00 years
What is Ravi Teja Kankanala's total experience?
Ravi Teja Kankanala's total experience is 14.92 years
What is Ravi Teja Kankanala's LinkedIn profile?
What is Ravi Teja Kankanala's email address?
What is Ravi Teja Kankanala's phone/WhatsApp number?
What schools did Ravi Teja Kankanala attend?
Ravi Teja Kankanala has attended iit madras indian institute of technology madras
What companies has Ravi Teja Kankanala worked with?
Ravi Teja Kankanala has worked with netskope, bayer, xtream it labs, ericsson, ericsson, xilinx rd
What are some of Ravi Teja Kankanala's skills?
Ravi Teja Kankanala has skills in Amazon Web Services (AWS), analytics, Applied Machine Learning, architecture, Artificial Intelligence (AI), auditing and more.
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