Key Skills

Freelancer Overview

I am an experienced researcher and educator with a strong background in data collection, survey design, and applied econometrics, which are directly relevant to data labeling and annotation for AI training. Throughout my academic and research career, I have led and participated in projects involving large-scale household surveys, discrete choice experiments, and field data collection, where meticulous data management, cleaning, and preparation were essential. My expertise includes using STATA, R, ArcGIS, and Python for data analysis and handling complex datasets, including spatial and behavioral data. I am skilled in designing and implementing protocols for high-quality data annotation, ensuring accuracy and consistency for downstream machine learning applications. My work in environmental economics has involved integrating diverse data sources, managing field teams, and translating real-world phenomena into structured, machine-readable formats, making me well-suited for roles in data labeling and AI training data creation.

Labeling Experience

Education

Work History