Michelle Espinoza

Key Skills

Software

Hasty

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Task Types

Point Key Point

Freelancer Overview

I am an experienced quantitative researcher with a strong background in designing and executing empirical studies using large-scale administrative and behavioral datasets across healthcare, fraud detection, and social-service systems. My expertise includes building automated ETL pipelines, developing reproducible analytics workflows, and conducting rigorous data validation to ensure high-quality, reliable training data for AI and machine learning models. I have hands-on experience with Python, SQL/PostgreSQL, Neo4j, and Power BI, and am skilled at transforming complex, multi-source data into actionable insights for both technical and non-technical stakeholders. My work has involved statistical modeling, anomaly detection, and the creation of dashboards and visualizations to support decision-making in domains such as medical data, financial crime, and user behavior analytics. I am adept at collaborating with multidisciplinary teams, managing data annotation projects, and ensuring data integrity throughout the AI model development lifecycle.

Labeling Experience

Video labeling

LabelboxVideoPoint Key Point

We had to mark the frames where movement occurred and mark the participants' body position.

We had to mark the frames where movement occurred and mark the participants' body position.

2021 - 2022

Wall line annotation

HastyImagePoint Key Point

This was for a shoe measuring application. We had to mark the wall line images.

This was for a shoe measuring application. We had to mark the wall line images.

2020 - 2021

Education

Work History