Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Task Types

Computer Programming Coding

Freelancer Overview

I am a computer engineering student with hands-on experience in building data pipelines, cleaning, and transforming large datasets for analytics and machine learning applications. My background includes integrating and harmonizing data from multiple sources, implementing deduplication and normalization techniques in Python, and designing scalable data models that ensure high-quality, analytics-ready datasets. I am skilled in Python, SQL, PySpark, and a range of visualization tools such as Power BI and Looker Studio, and have worked with cloud platforms like Azure, GCP, AWS, and Oracle Cloud. My projects—ranging from government administrative data integration to analytics pipelines for Uber and the Tokyo Olympics—have honed my attention to data quality, consistency, and annotation best practices, making me passionate about supporting AI and data-driven solutions with reliable, well-labeled data.

Labeling Experience

Education

Work History