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Vignesh Radhakrishnan
Data Engineer at Intuit | NITK
Education
• nit karnataka national institute of technology karnataka
• kendriya vidyalaya
Companies
• intuit
• indian institute of science iisc
Experience
6 Years
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Experience
Intern (High Performance Computing)
indian institute of science iisc | Bengaluru Area, India
2016 - 2016
Skills
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Acoustic Guitar
Algorithms
Amazon Web Services (AWS)
Applied Machine Learning
Artificial Intelligence (AI)
Big Data
C
C (Programming Language)
C++
Caffe
Computer Science
CuDNN
Data Engineering
Data Warehousing
Deep Learning
Hadoop
Hardware
Java
Keras
Machine Learning (ML)
Maven
Natural Language Processing (NLP)
Neural Networks
PHP
Python
Research
Research Scientist
SQL
TensorFlow
test
Theano
ui
VMware Wavefront (cloud-native monitoring)
Contact Details
Email (Verified)
vigXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
nit karnataka national institute of technology karnataka
Bachelor of Technology
2014 - 2018
kendriya vidyalaya
CBSE
2002 - 2014
Frequently asked questions
What company does Vignesh Radhakrishnan work for?
Vignesh Radhakrishnan works for intuit
What is Vignesh Radhakrishnan role in his workplace?
Vignesh Radhakrishnan's role in his workplace is Data Engineer
What is Vignesh Radhakrishnan's tenure in his workplace?
Vignesh Radhakrishnan's tenure in his workplace is 4.75 years
What is Vignesh Radhakrishnan's total experience?
Vignesh Radhakrishnan's total experience is 6.00 years
What is Vignesh Radhakrishnan's LinkedIn profile?
What is Vignesh Radhakrishnan's email address?
What is Vignesh Radhakrishnan's phone/WhatsApp number?
What schools did Vignesh Radhakrishnan attend?
Vignesh Radhakrishnan has attended nit karnataka national institute of technology karnataka, kendriya vidyalaya
What companies has Vignesh Radhakrishnan worked with?
Vignesh Radhakrishnan has worked with intuit, intuit, intuit, indian institute of science iisc, indian institute of science iisc
What are some of Vignesh Radhakrishnan's skills?
Vignesh Radhakrishnan has skills in Acoustic Guitar, Algorithms, Amazon Web Services (AWS), Applied Machine Learning, Artificial Intelligence (AI), Big Data and more.
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