Obed

Key Skills

Software

Appen

CrowdSource

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Transcription

Freelancer Overview

I am a detail-oriented data analyst and project manager with over three years of experience working in fast-paced environments where accuracy and timely delivery are essential. My background includes using tools such as Microsoft Office, Python, and Tableau to analyze and interpret complex data sets, as well as managing cross-functional teams to ensure projects are completed on schedule. I am skilled in data-driven decision making, statistical analysis, and communicating insights to stakeholders. My experience with international business data and multilingual abilities allow me to efficiently manage and annotate data for diverse domains, ensuring high-quality datasets for AI training and data labeling projects. I am committed to maintaining data integrity and continuously improving processes to boost productivity and meet project goals.

Labeling Experience

Annotator

AppenImageBounding Box

In my work with Appen Appen, I used bounding boxes to complete image annotation tasks for a human anatomy project focused on training computer vision models. What I Did I was responsible for drawing precise bounding boxes around specific anatomical structures in medical images. These images included labeled diagrams and clinical-style visuals of different parts of the human body. The goal was to help train AI systems to accurately detect and classify anatomical regions. How I Used Bounding Boxes Identifying Target Structures I carefully reviewed each image and identified the required anatomical feature (e.g., organs, muscles, bones, or vessels) based on the project guidelines. Drawing Accurate Boxes Using Appen’s annotation tool, I created tight-fitting rectangular bounding boxes around the visible boundaries of each structure. I ensured: The entire structure was included Minimal background was captured Overlapping regions were handled according to instructions

In my work with Appen Appen, I used bounding boxes to complete image annotation tasks for a human anatomy project focused on training computer vision models. What I Did I was responsible for drawing precise bounding boxes around specific anatomical structures in medical images. These images included labeled diagrams and clinical-style visuals of different parts of the human body. The goal was to help train AI systems to accurately detect and classify anatomical regions. How I Used Bounding Boxes Identifying Target Structures I carefully reviewed each image and identified the required anatomical feature (e.g., organs, muscles, bones, or vessels) based on the project guidelines. Drawing Accurate Boxes Using Appen’s annotation tool, I created tight-fitting rectangular bounding boxes around the visible boundaries of each structure. I ensured: The entire structure was included Minimal background was captured Overlapping regions were handled according to instructions

2020 - 2022

Education

Work History