Osazee Obazee

Key Skills

Software

AWS SageMaker

Data Annotation Tech

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Question Answering

Text Generation

Geocoding

Computer Programming Coding

Data Collection

Freelancer Overview

I am a data scientist and software engineer with over 9 years of experience designing and validating analytical workflows, ensuring data quality, and supporting AI-driven solutions. My background includes extensive hands-on work with Python and SQL to build, validate, and benchmark data pipelines and models, with a strong emphasis on data accuracy, bias awareness, and rigorous QA processes. I have led projects across healthcare, finance, and business analytics, translating complex data into actionable insights and clear success metrics. I excel at structuring ambiguous problems, developing robust evaluation frameworks, and collaborating with cross-functional teams to align data outputs with business and technical goals. My experience with tools like Tableau, Power BI, and Looker, combined with my ongoing graduate studies in data science, allows me to contribute effectively to high-quality AI training data, annotation, and data labeling initiatives.

Labeling Experience

Code Evaluation & Programming Task Annotation (Python/SQL)

Label StudioComputer Code ProgrammingQuestion AnsweringText Generation

Completed programming-focused data labeling and evaluation tasks for AI model training. Reviewed Python and SQL solutions for correctness, efficiency, and edge-case handling; identified bugs and logical errors; improved prompts/test cases; and provided structured feedback to align outputs with instructions. Validated code behavior conceptually, checked for safe/robust error handling, and ensured clean formatting and readable implementation for production-style expectations. Additional Information (optional)

Completed programming-focused data labeling and evaluation tasks for AI model training. Reviewed Python and SQL solutions for correctness, efficiency, and edge-case handling; identified bugs and logical errors; improved prompts/test cases; and provided structured feedback to align outputs with instructions. Validated code behavior conceptually, checked for safe/robust error handling, and ensured clean formatting and readable implementation for production-style expectations. Additional Information (optional)

2025 - 2025

Education

Work History