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Ahmet Salih Gundogdu
Machine Learning Engineer at Spotify
Education Overview
• northeastern university
• the hong kong university of science and technology
• sabanc niversitesi sabanci university
Companies Overview
• spotify
• warnermedia
• legendary entertainment
• northeastern university
• sabanci university
• stm
• turkish technic
• altinay robot technologies inc.
• istanbul transportation co
Experience Overview
6.6 Years
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Experience
Skills
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analytics
Deep Learning
Machine Learning (ML)
Random Forest
Research
Research and Development (R&D)
Research Scientist
Supervised Learning
Contact Details
Email (Verified)
gunXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
northeastern university
Master of Science (M.Sc.)
2017 - 2018
the hong kong university of science and technology
Undergraduate
2013 - 2013
sabanc niversitesi sabanci university
Undergraduate
2009 - 2014
Frequently asked questions
What company does Ahmet Salih Gundogdu work for?
Ahmet Salih Gundogdu works for spotify
What is Ahmet Salih Gundogdu role in his workplace?
Ahmet Salih Gundogdu's role in his workplace is Machine Learning Engineer
What is Ahmet Salih Gundogdu's tenure in his workplace?
Ahmet Salih Gundogdu's tenure in his workplace is 5.68 years
What is Ahmet Salih Gundogdu's total experience?
Ahmet Salih Gundogdu's total experience is 6.58 years
What is Ahmet Salih Gundogdu's LinkedIn profile?
What is Ahmet Salih Gundogdu's email address?
What is Ahmet Salih Gundogdu's phone/WhatsApp number?
What schools did Ahmet Salih Gundogdu attend?
Ahmet Salih Gundogdu has attended northeastern university, the hong kong university of science and technology, sabanc niversitesi sabanci university
What companies has Ahmet Salih Gundogdu worked with?
Ahmet Salih Gundogdu has worked with spotify, warnermedia, legendary entertainment, northeastern university, sabanci university, stm, turkish technic, altinay robot technologies inc., istanbul transportation co
What are some of Ahmet Salih Gundogdu's skills?
Ahmet Salih Gundogdu has skills in analytics, Deep Learning, Machine Learning (ML), Random Forest, Research, Research and Development (R&D) and more.
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