Key Skills

Software

OpenCV AI Kit (OAK)

Img Lab

Label Studio

Internal/Proprietary Tooling

Top Subject Matter

Healthcare / Life Sciences

Retail / Consumer Goods

Finance / Banking

Top Data Types

Image

Text

Document

Top Task Types

Classification

Text Summarization

Data Collection

Bounding Box

Object Detection

Transcription

Computer Programming Coding

Function Calling

Evaluation Rating

Freelancer Overview

My experience in data preparation and AI training data comes from my work as a Data Analyst in alternance at Schindler, where I was responsible for collecting, cleaning, and transforming data from multiple internal systems. I built automated data pipelines and developed frameworks for tracking key performance indicators (KPIs), which required rigorous attention to data quality, anomaly detection, and consistency. Ensuring that raw data was accurately structured and validated before being used for reporting and decision-making is directly aligned with the precision needed for preparing high-quality AI training datasets. Additionally, I applied NLP techniques at UNICANCER to process unstructured textual healthcare data, transforming it into structured formats for research teams. I also developed a computer vision application (person detection with OpenCV) and a speech-to-text tool during a Python developer internship, giving me hands-on experience with image and audio data, common formats in AI training pipelines. Combined with my strong background in Python, SQL, and ETL pipelines, I bring a meticulous approach to data labeling, quality assurance, and scalable data preparation.

Labeling Experience

Education

Work History