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| title | About | |
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| share-title | About | Pinecone Data | |
| share-description | About Pinecone Data and my experience in data workflows, reporting automation, analysis, and technical implementation. | |
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I am a data professional based in Richmond, VA with a background in physics and more than a decade of experience working with technical systems, data workflows, reporting, and client implementations.
Through Pinecone Data, I help improve repetitive data and reporting processes by making them clearer, more reliable, and easier to maintain.
My professional experience spans data science, software implementation, workflow automation, and scientific research.
As a Senior Data Scientist at a web performance company, I worked with Python, SQL, browser automation, web scraping, and unstructured data. My responsibilities included developing test cases, customizing data collection, automating scheduled reports, preparing datasets for analysis, and creating visualizations that made technical information more accessible.
As an Implementation Manager at an equity management company, I led client migrations onto a new software platform. That work involved ETL processes, database queries, data validation, project documentation, technical support, and client training.
Earlier in my career, I worked in the Accelerator Mass Spectrometry Laboratory at the University of Arizona, where I contributed to improvements in radioisotope dating equipment. I also developed and hosted a particle physics masterclass for local high school students.
<p>
I tend to work best on projects where the underlying process is useful
but unnecessarily manual, difficult to reproduce, or hard to explain.
I focus on understanding the current workflow, identifying where
complexity or repetition can be reduced, and building a solution that
remains understandable after the initial implementation.
</p>
<p>
My physics background influences this approach: define the problem,
examine the available evidence, test assumptions, and document the
result clearly.
</p>
Reporting and workflow automation
Data collection and preparation
Python and SQL-based processes
Data analysis and visualization
ETL and implementation support
Technical documentation and training
Review selected projects to see examples of this work, or get in touch to discuss a workflow, reporting, or data project.