Key Skills

Software

No software listed

Top Subject Matter

subjective wellbeing measurement

health data

macroeconomic data

Top Data Types

Computer Code Programming

Document

Medical Dicom

Top Task Types

Classification

Computer Programming Coding

Relationship

Freelancer Overview

I have extensive experience in AI training data, with a strong focus on applying statistical analysis and machine learning techniques to derive meaningful insights and drive decision-making. My proficiency in Python and other analytical tools has been demonstrated through various high-impact projects. For instance, I led the analysis of the Shinkansen Bullet Train dataset, using techniques such as decision trees, random forest, and logistic regression to achieve a 95% accuracy rate in predicting passenger satisfaction. Additionally, I developed a robust pricing model for Cars4U using Random Forest and XGBoost Regressors, which significantly improved price prediction accuracy. Furthermore, my role as a Data Analyst at What Works Centre for Wellbeing involved performing comprehensive statistical analysis on multiple datasets, including logistic regression models, and leading a team to enhance our analytical capabilities. My work at the University of Verona and the Treasury involved supervising data collection processes, ensuring data integrity, and conducting macroeconomic data analysis to support policy development. These experiences underscore my ability to manage and analyze large datasets, develop predictive models, and contribute to AI training data projects effectively.

Labeling Experience

Education

Work History