Who is Uddeshya Singh? Overview
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Quick answer
Uddeshya Singh is listed as Software Engineer at Go-Jek, based in Bangalore Urban, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Uddeshya Singh.
Company email context
Email format at Go-Jek
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Go-Jek
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Profile bio
About Uddeshya Singh
Uddeshya Singh is a Software Engineer at Go-Jek. They possess expertise in python, data analysis, data structures, software development, machine learning and 15 more skills. Colleagues describe them as "I had the opportunity to collaborate with Uddeshya on diverse technologies, and his expertise in Golang particularly stood out. Not only has Uddeshya demonstrated proficiency in Java frameworks and various database systems, including PostgreSQL, Redis, and a thorough understanding of MongoDB cache, but he also exhibits an unyielding enthusiasm for embracing new challenges. Each task undertaken by Uddeshya becomes a valuable learning experience, as he remains focused on delivering high-quality work and contributes significantly to the team's growth. Uddeshya's dedication and skillset make him a truly valuable asset to any project or team."
Listed skills include Python, Data Analysis, Data Structures, Software Development, and 16 others.
Current workplace
Uddeshya Singh's current company
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1 role
Uddeshya Singh work experience
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Software Engineer
FAQ
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What company does Uddeshya Singh work for?
Uddeshya Singh works for Go-Jek.
What is Uddeshya Singh's role at Go-Jek?
Uddeshya Singh is listed as Software Engineer at Go-Jek.
Where is Uddeshya Singh based?
Uddeshya Singh is based in Bangalore Urban, Karnataka, India while working with Go-Jek.
What companies has Uddeshya Singh worked for?
Uddeshya Singh has worked for Go-Jek.
How can I contact Uddeshya Singh?
You can use AeroLeads to view verified contact signals for Uddeshya Singh at Go-Jek, including work email, phone, and LinkedIn data when available.
What skills is Uddeshya Singh known for?
Uddeshya Singh is listed with skills including Python, Data Analysis, Data Structures, Software Development, Machine Learning, Data Analytics, Deep Learning, and Ml.
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