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moshe rubin

Chicago, IL

Data analyst specializing in SQL data modeling, Python analytics, and reproducible reporting systems.

I build reliable decision-support tools using Oracle SQL, Python, and Power BI. My work focuses on transforming complex institutional data into clear metrics and dashboards used for planning, reporting, and operational decision-making.

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Current work

National Louis University

Data Analyst - Strategic Data Center

I design and maintain data models and reporting infrastructure supporting institutional analytics across enrollment, persistence, graduation, and post-graduation outcomes.

  • Developing SQL views and transformation layers in an Oracle data lake
  • Building Power BI dashboards used by leadership and operational teams
  • Creating Python analysis workflows using pandas and Jupyter
  • Translating ambiguous business questions into well-defined metrics and analyses

The goal is simple: make institutional data reliable, understandable, and usable for real decisions.

Toolbox

Technologies I work with regularly

  • SQL (Oracle)
  • Python
  • pandas
  • Jupyter
  • Power BI
  • data storytelling and dashboard design
  • Git
  • reproducible analytics pipelines
  • version-controlled reporting

Background

Background

Before moving into analytics, I spent several years teaching mathematics, computer science, and applied accounting.

That experience strongly shapes how I approach analytics work today: clear definitions, careful reasoning, and communication that makes complex ideas accessible to non-technical audiences.

GitHub

Open-source and personal projects

I use GitHub to develop analytics utilities, automation scripts, and data analysis projects. Most of my work focuses on Python-based tooling that makes analysis and reporting workflows more reliable and reproducible.

The activity graph below shows recent development and maintenance work.

GitHub contribution heatmap for Moshe Rubin

Education

M.S. Business Data Analytics
National Louis University (in progress)

B.S. Mathematics, Cum Laude
University of Illinois at Chicago
Minor in Physics

Prime fact

I discovered a 945,000-digit Proth prime, 915 · 23 141 942 + 1, through the PrimeGrid distributed computing project, which searches for new large prime numbers using volunteer computing.