Key Skills

Freelancer Overview

I am a Senior Data Analyst with a background in econometrics and extensive experience in machine learning, data processing, and applied analytics. In my role at the University of Chicago Crime Lab, I have produced over 80 analytical projects involving data extraction, transformation, and modeling, including forecasting policy outcomes such as crime recidivism and fatality rates. My work regularly involves preparing structured datasets, validating outputs, and ensuring high-quality, reproducible pipelines—skills directly aligned with AI training data workflows. I have hands-on experience with both traditional and modern machine learning approaches, including transformer models, and am proficient in Python and R for tasks such as text mining, classification, and data labeling at scale. I am particularly well-suited for AI training tasks involving code evaluation, model output assessment, and structured data annotation, given my strong attention to detail, experience with model validation, and ability to critically assess outputs for accuracy and consistency.

Labeling Experience

Education

Work History