Key Skills

Software

Appen

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Data Collection

Object Detection

Prompt Response Writing SFT

Question Answering

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an atmospheric and climate science professional with a strong background in Python-based data analysis, numerical datasets, and automated workflows. My experience includes developing and validating predictive models, benchmarking large-scale climate datasets, and integrating observational and model-generated data for comparative analysis. I am skilled in data preprocessing, feature engineering, and quality control, all key components of high-quality data labeling and annotation for AI training. My technical expertise spans Python (with libraries such as Pandas, NumPy, Xarray, scikit-learn), GIS tools (ArcGIS, QGIS, Geopandas), and data visualization, as well as version control with Git/GitHub. I have worked with complex, multi-source datasets in both research and operational settings, ensuring data integrity and clarity for downstream analytics and machine learning applications. My collaborative approach and attention to detail make me well-suited for roles focused on building and curating reliable AI training data across scientific and technical domains.

Labeling Experience

Education

Work History