Key Skills

Freelancer Overview

I am an experienced data scientist with over three years of hands-on work in data analysis, annotation, and AI-driven projects at Transport for London. My background includes designing and implementing workflows to process large and complex datasets, leveraging Python (pandas, NumPy, scikit-learn), R, and SQL to conduct statistical modeling, A/B testing, and natural language processing (NLP) tasks. I have led projects involving data cleaning, feature engineering, and automating data labeling processes, such as applying semantic similarity techniques to accurately identify and de-duplicate incident reports—achieving significant improvements in efficiency and accuracy. My work often bridges technical and non-technical teams, ensuring annotated data meets high standards for quality, privacy, and ethical AI use. I am passionate about building clear, actionable insights from raw data and have experience guiding teams and supporting best practices in responsible, secure data annotation and AI model training.

Labeling Experience

Education

Work History