Jan 2022 - Current
Jan 2021 - Jan 2022
Jan 2018 - Aug 2019
Master of Engineering - MEng at University of Windsor
Bachelor of Engineering - BE at Sarvajanik College of Engineering & Technology
H.S.C at Smt. L. P. Savani Vidhyabhavan
SSC, GSEB at Smt. L. P. Savani Vidhyabhavan
Name: NLogic Canada
Speciality: Data engineering, Advertising, Audience ratings, Data analysis, Audience insights, Business intelligence, Audience data, Data integration, System integration, TV ratings, Radio ratings, TV attribution, TV optimization
Location: Toronto, Ontario, Canada
Employees: 10-50
Description: NLogic is Canada’s leading provider of TV, radio and cross-platform audience and advertising data solutions. With decades of experience, they help organizations leverage data to ...
What is Jiten Pandit's minimum period of employment in the companies?
Jiten Pandit's minimum period of employment in various companies is 1 year.What is Jiten Pandit's average duration of employment for different companies?
On average, Jiten Pandit works for one company for 1 year 4 monthsWhat industries has Jiten Pandit worked in?
Jiten Pandit works in the Computer Software. Previously, Jiten Pandit worked in the Banking, and Information Technology and Services.What positions has Jiten Pandit held before?
Previously, Jiten Pandit worked as a QA Automation Engineer.How do I contact Jiten Pandit?
Jiten Pandit's email address is p******j@nlogic.ca, phone number is +1-***-***-7164. Sign up to get contact details.Who are Jiten Pandit's peers at other companies?
Jiten Pandit's peers at other companies are Mohit Shrivastava and Gayatri Prasad Torasia and Vignesh Raj JeyapandianSignalHire 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.