Building clean data pipelines and accessible tools

End to end: Google Sheets → Python → BigQuery → Looker Studio. Portfolio includes an automated finance tracker, AI in education analysis, and a Python OOP game. Focus on reproducible work and accessible UX.

Email rjsory1995@gmail.com

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Project walkthrough

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Featured Projects

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AI in Education — case study

Final write-up and two visuals from the analysis.

Project Repo Final Analysis (PDF)

Five Card Draw — Python OOP

Tkinter GUI + game logic: menu → setup → deal → discard → evaluate.

Game setup dialog for player name and count

Discard phase with selected cards highlighted

Source Repo

Finance Tracker — Proof Pack

Slides of the live Looker dashboard and pipeline components.

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Certification

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About

I build data pipelines and BI dashboards that answer real finance questions for real people. My workflow is simple: Sheets or CSVs flow into Python for cleaning, then into BigQuery for storage, then into Looker Studio for interactive reporting.

Core skills include Python, Pandas, SQL, BigQuery, Looker Studio, GitHub and automation. I focus on clean schema design, repeatable data quality checks and accessible UI.

Keywords: data analyst, BI developer, Python, SQL, BigQuery, Looker Studio, ETL, dashboard, finance analytics, accessibility.

Contact

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