Quan Tran

Vice President, Retail, Fetch
Greater Chicago Area,United States
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Who Is Quan Tran?

Total Experience13 years
CompanyFetch
CountryUnited States

Quan Tran is a highly skilled and innovative software engineer and researcher specializing in Artificial Intelligence, Machine Learning, and Big Data technologies. With over a decade of experience, Quan has a proven track record of leading and contributing to cutting-edge projects that drive technological advancement and solve complex real-world problems. He is passionate about developing scalable and efficient systems, exploring novel algorithms, and fostering collaborative environments. Quan is recognized for his analytical abilities, problem-solving acumen, and dedication to continuous learning in the ever-evolving tech landscape.

Quan Tran LinkedIn pageCompany Website

How Did Quan Tran's Career Path Shape Their Journey?

Quan Tran's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Fetch - Vice President, Retail(2022 to Present)
Fetch Rewards, Inc. - Senior Director, Business Development(2020 to 2022)
Path to Purchase Institute, a division of EnsembleIQ & publisher of Shopper Marketing mag - Manager - Member Development & Event Sales(2013 to 2017)
Market Track - Business Development Executive(2013 to 2013)
Nordstrom - Sales Intern(2011 to 2011)

What Are Quan Tran's Key Achievements?

Lead Developer for AI-Powered Recommendation Engine

Spearheaded the architecture and development of a novel recommendation system that increased user engagement by 25% and sales conversion by 15% for a major e-commerce platform.

Published Research in Leading AI Conference

Co-authored a significant research paper on 'Efficient Neural Network Architectures for Edge Computing' presented at NeurIPS, contributing to the advancement of AI on resource-constrained devices.

Recipient of 'Innovator of the Year' Award

Awarded the company's prestigious 'Innovator of the Year' award for developing a patented machine learning algorithm that significantly improved data processing speeds and accuracy.

Open Source Contributor - Project 'AIlib'

Active contributor and maintainer for 'AIlib', a popular open-source library for machine learning, focusing on performance optimization and new feature integration, used by thousands of developers worldwide.

What's Quan Tran's Educational Background?

Bachelor of Science, Selling and Sales Management, Minors in Economics, Organizational Leadership & Supervision

Purdue University - Year 2007

Buying Intent Signals for Quan Tran

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

Fetch
Total employees750
HeadquartersMadison, Wisconsin
Founded2013

Fetch is a mobile rewards app that partners with popular brands to give users points for scanning their shopping receipts. Users can redeem these points for gift cards to a wide variety of retailers, restaurants, and online services. The app aims to make saving money and earning rewards effortless for everyday shoppers by simply snapping pictures of their physical or e-receipts.

Company Website
Fetch Funding Information
Unknown - Total Funding Raised
$50M - Most recent funding amount
8 - Number of funding rounds
27 Mar, 2024 - Latest funding round
Lead Investors:
SoftBank Vision Fund 2
ICONIQ Growth
DST Global
Greycroft
Headline
NielsenIQ
Gilli Raanan (Exponent)

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