Tracy M.

Key Skills

Software

Sama

Labelbox

Remotasks

Top Subject Matter

Machine learning dataset annotation and quality assurance

Social security data analysis and anomaly detection (data quality-focused work)

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Classification

Bounding Box

Segmentation

Cuboid

Freelancer Overview

Samasource Associate — Sama Source (December 2023 to March 2026). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, Mount Kenya University (2023) and Kenya Certificate of Secondary Education, Kiangunyi Girls Secondary School (2019). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Samasource Associate — Sama Source (December 2023 to March 2026)

SamaTextClassification

Annotated and categorized large datasets to support downstream machine learning workflows. Performed quality assurance checks to detect and correct inconsistencies in labeled data. Collaborated with cross-functional teams to streamline labeling workflows, report progress, and apply feedback for continuous improvement. • Labeled and categorized large datasets according to project guidelines. • Conducted QA checks to maintain label consistency and data integrity. • Coordinated with teams to implement feedback and optimize workflows. • Managed multiple annotation projects while meeting tight deadlines.

2023 - 2026

Attachment — National Social Security Fund (April 2023 to October 2023)

TextClassification

Applied statistical methods to analyze and interpret datasets related to social security contributions, claims, and beneficiary demographics. Conducted statistical modeling and risk assessment to identify potential anomalies in social security transactions. Implemented data quality improvement initiatives to enhance the accuracy and reliability of the underlying data used for analysis. • Analyzed social security contribution and claims datasets using statistical methods. • Used statistical modeling techniques to identify anomalies/risk areas. • Translated findings into actionable insights for stakeholders. • Improved data quality to ensure accuracy and reliability.

2023 - 2023

Education

Work History