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Kelly Tran

Kelly Tran

Experienced in data entry, specializing in precise AI data labeling

VIETNAM flag
Ho Chi Minh, Vietnam
$20.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

E-commerce and Retail
Autonomous Vehicles
Warehouse Inventory

Top Data Types

ImageImage
TextText
VideoVideo

Top Label Types

Classification

Freelancer Overview

I bring extensive experience and expertise in data labeling, having worked across various industries such as autonomous vehicles, e-commerce and warehouse inventory. With a keen eye for detail and a thorough understanding of annotation techniques, I excel in accurately labeling diverse datasets. My proficiency extends to tasks such as image classification and object detection, where I ensure high-quality annotations that meet project requirements and industry standards.

Intermediate

Labeling Experience

Pizza Quality Scoring

Don T DiscloseImageBounding BoxSegmentation
Pain point: The pizza company that is my client is the largest pizza & fusion chain in Southeast Asia with over 40 locations in 5 countries. One of their operation challenges is with the quality of the pizzas (averaging 2,000 pizzas per location per day) that is how to keep the pizza quality reaching the level good enough to serve the customers. At the same time, from there, each location can draw out a training plan based on the top 5 training issues recognized from the pizzas. Solution: - Take a picture of each pizza coming out of the oven. - Detect pizza quality issues from each photo - Scoring if the pizza quality is good enough to serve the customers - Based on the pizza issues, extract training plans (for each location) based on top prioritized training curriculum.

Pain point: The pizza company that is my client is the largest pizza & fusion chain in Southeast Asia with over 40 locations in 5 countries. One of their operation challenges is with the quality of the pizzas (averaging 2,000 pizzas per location per day) that is how to keep the pizza quality reaching the level good enough to serve the customers. At the same time, from there, each location can draw out a training plan based on the top 5 training issues recognized from the pizzas. Solution: - Take a picture of each pizza coming out of the oven. - Detect pizza quality issues from each photo - Scoring if the pizza quality is good enough to serve the customers - Based on the pizza issues, extract training plans (for each location) based on top prioritized training curriculum.

2020 - 2022

Education

U

University of Oklahoma

BS. Degree in Computer Science , Computer Science

BS. Degree in Computer Science
2009 - 2011

Work History

P

Pizza 4P’s

Chief of Technology

Singapore
2019 - 2021
A

Appable, LLC.

Founder & CEO

Santa Clara
2010 - 2020