Sep 2025 - Current
Sep 2025 - Current
Sep 2024 - Current
Sep 2024 - Sep 2025
May 2024 - Sep 2024
May 2023 - Sep 2024
May 2023 - Sep 2023
Bachelor's degree at University of Toronto
Sekolah Lentera Indonesia
Name: University of Toronto Machine Intelligence Student Team (UTMIST)
Location: Toronto, Ontario, Canada
Employees: 100-200
Description: Founded in 2017, UTMIST (University of Toronto Machine Intelligence Student Team) is North America’s largest undergrad machine learning-focused community. As a student-led club, ...
What is Daniel Saragih's minimum period of employment in the companies?
Daniel Saragih's minimum period of employment in various companies is 4 months.What is Daniel Saragih's average duration of employment for different companies?
On average, Daniel Saragih works for one company for 9 monthsWhat industries has Daniel Saragih worked in?
Daniel Saragih works in the Research. Previously, Daniel Saragih worked in the Higher Education.What positions has Daniel Saragih held before?
Previously, Daniel Saragih worked as a Research Assistant, and Engineering Team Lead, and Undergraduate Researcher.How do I contact Daniel Saragih?
Daniel Saragih's email address is g**********************h@gmail.com, phone number is +1-514-***-**05. Sign up to get contact details.Who is the President/CEO/Director of the University of Toronto Machine Intelligence Student Team (UTMIST)?
The President/CEO/Director of the University of Toronto Machine Intelligence Student Team (UTMIST) is Stuti SapruWho are Daniel Saragih's peers at other companies?
Daniel Saragih's peers at other companies are Mohammad Wazi and Akbar Karabaev and Offir FriedmanSignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.