Simon Long'or

Key Skills

Software

AWS SageMaker

Data Annotation Tech

Mercor

LabelImg

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Evaluation Rating

Mapping

Question Answering

Text Summarization

Translation Localization

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data collection, annotation, and machine learning model development. My background includes developing and deploying machine learning models that improved predictive analytics accuracy, as well as optimizing algorithms for greater efficiency. I have served as an enumerator for multiple organizations, where I conducted extensive data collection, baseline surveys, and monitoring and evaluation processes to ensure data quality and project effectiveness. With a strong foundation in computer science and ongoing graduate studies in business intelligence and data analytics, I bring expertise in data analysis, stakeholder engagement, and cross-functional collaboration. I am passionate about leveraging high-quality data to drive impactful AI solutions and am skilled in managing end-to-end data processes across diverse domains.

Labeling Experience

Medical Image Annotator

LabelimgImageText SummarizationDiagnosis

Annotated over 10,000 medical images (X-rays, MRIs, CT scans) for training AI models to detect diseases and anomalies. * Developed detailed annotation guidelines for identifying specific anatomical structures and pathological conditions. * Utilized Labelbox to efficiently manage and label large datasets, improving labeling speed by 20%. * Collaborated with radiologists and data scientists to refine annotation criteria and improve model accuracy. * Conducted rigorous quality assurance checks, reducing annotation errors by 15%.

Annotated over 10,000 medical images (X-rays, MRIs, CT scans) for training AI models to detect diseases and anomalies. * Developed detailed annotation guidelines for identifying specific anatomical structures and pathological conditions. * Utilized Labelbox to efficiently manage and label large datasets, improving labeling speed by 20%. * Collaborated with radiologists and data scientists to refine annotation criteria and improve model accuracy. * Conducted rigorous quality assurance checks, reducing annotation errors by 15%.

2024 - 2025

Education

Work History