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Yu-hsin Wang

Yu-hsin Wang

Expert in Data Labeling | 3+ Years of Experience as a Data Scientist

USA flagSunnyvale, Usa
$30.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Image
Text
Classification

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Bounding Box
Classification
Data Collection
Object Detection
Translation Localization

Freelancer Overview

I am a dedicated Data Scientist with extensive experience in data labeling, specializing in creating high-quality training data for AI models. At an institute for Biological Studies, I meticulously labeled images by creating precise masks for image segmentation projects. This hands-on approach ensured the accuracy and effectiveness of our deep learning models, significantly improving their performance. My expertise in data annotation spans various domains, including image segmentation and predictive analytics. I excel at using tools like Python and SQL to clean, organize, and label data, ensuring it meets the highest standards for machine learning applications. My attention to detail, strong analytical skills, and ability to communicate complex data insights effectively make me a valuable asset in the field of data labeling and AI training data.

IntermediateEnglishChinese Mandarin

Labeling Experience

Data Scientist

Internal Proprietary ToolingImageSegmentation
At the Salk Institute for Biological Studies, I played a crucial role in a large-scale project aimed at developing deep learning models for image segmentation. The project involved labeling thousands of microscopy images to create precise masks, which were essential for training accurate and efficient AI systems. In this project, I meticulously labeled images by creating detailed masks to highlight various biological structures. The scope of the project included not only the initial data annotation but also continuous quality checks to ensure the accuracy and consistency of the labeled data. I adhered to strict quality measures, including multiple rounds of review and validation, to maintain high standards and ensure the reliability of the training data.

At the Salk Institute for Biological Studies, I played a crucial role in a large-scale project aimed at developing deep learning models for image segmentation. The project involved labeling thousands of microscopy images to create precise masks, which were essential for training accurate and efficient AI systems. In this project, I meticulously labeled images by creating detailed masks to highlight various biological structures. The scope of the project included not only the initial data annotation but also continuous quality checks to ensure the accuracy and consistency of the labeled data. I adhered to strict quality measures, including multiple rounds of review and validation, to maintain high standards and ensure the reliability of the training data.

2022 - 2023

Education

U

University of San Francisco

Master's in Data Science, Data Science

Master's in Data Science
2022 - 2023
N

National Taiwan Normal University

Bachelor's in English Studies, Linguistics

Bachelor's in English Studies
2014 - 2018

Work History

P

Peer2Peer Inc.

Data Scientist

San Francisco
2023 - Present
S

Salk Institute for Biological Studies

Data Scientist

San Francisco
2022 - 2023