Scott Kurland

Data Analyst · Austin, TX

Numbers you can act on start with data that checks out.

I validate high-volume federal data at the IRS, and I bring that same rigor to analysis — SQL, Python, and Power BI, with every figure traceable back to its source.

Records 01–04

Projects

Healthcare encounter analysis

Source 55,000-row healthcare encounter dataset Method MySQL → Python (pandas) → Power BI Result End-to-end pipeline from raw records to an interactive dashboard.
✓ Repo on GitHub

Used-car auction dashboard

Source Public auction sales data Method SQL → Power BI Result Pricing and volume trends surfaced for buy-side comparison.
✓ Repo on GitHub

Workplace-safety risk analysis

Source 2012 U.S. workplace safety data Method Excel Result Workplace risk analyzed and ranked across sectors.
✓ Repo on GitHub

Austin permit growth analysis

Source City of Austin open permit data Method Python → visualization Result Construction growth patterns mapped across the metro.
✓ Repo on GitHub
Verified history

Experience

Internal Revenue Service — Clerk

2019 – present · Austin, TX

High-volume data validation under federal confidentiality standards. Accuracy, documentation, and process discipline at scale.

Robert Half — Utility Analytics, Austin Water

2012 – 2017 · Austin, TX

Analytics engagement including anomaly detection in water-usage data that identified roughly 500,000 gallons in recoverable loss.

Galvanize — Data Science Immersive

2017 – 2018

Full-time immersive program: statistics, Python, machine-learning fundamentals.

Toolset

Skills

  • SQL (MySQL)
  • Python · pandas
  • Power BI
  • Excel
  • Data validation
  • Data cleaning
  • Dashboarding
  • Documentation