ABOUT ME
I'm James Potter, a data developer and freelance data professional based in the scenic mountains of Western North Carolina. With a strong foundation in bioscience and data analysis, I specialize in transforming complex datasets into practical solutions for businesses and organizations. My analytical approach combines technical expertise with a keen eye for meaningful insights that drive decision-making.
What I do
I provide comprehensive data services including cleaning and processing, analysis, visualization, and automation. Recently certified in Google Data Analytics, I leverage DuckDB, Python, SQL, and specialized visualization tools to solve data challenges efficiently. My freelance practice focuses on data quality, transformation pipelines, and creating accessible visualizations that tell compelling stories.
Recent Projects
- Data Cleaning Framework: Developed a modular Python framework for efficient data cleaning and transformation across multiple formats
- Interactive Weather Dashboard: Created a real-time weather monitoring system for Western North Carolina using Observable Framework
- PDF Data Extraction System: Built an automated workflow for extracting, validating, and structuring data from complex PDF documents
- Synthetic Data Generation: Designed customizable generators for creating realistic test data with controlled quality characteristics
Technical Stack
Languages & Core Technologies:
Python, SQL, Markdown, HTML/CSS, JavaScript
Analysis & Processing:
DuckDB, Pandas, NumPy, Excel, Scikit-learn
Visualization:
Observable Framework, Jupyter Notebooks, Excel, Matplotlib/Seaborn
Tools:
Git, Docker, UV (Python Package Management), VS Code, GitHub Copilot
Databases:
DuckDB, PostgreSQL
Current Focus
I'm available for freelance data projects and consulting. Whether you need help cleaning messy datasets, extracting information from documents, or building data pipelines, I'd love to discuss how I can help. Feel free to reach out through LinkedIn or explore my projects on GitHub.