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Alex
Polenberg

Data Analytics & AI Consultant @ Lean TECHniques
applied mathematician · PhD, University of Iowa
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Experience

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2025 — present
Data Analytics & AI Consultant
Lean TECHniques
  • Partner with clients to design and ship data & AI solutions — ingestion to production analytics.
  • Build reliable data pipelines and stand up ML/LLM workflows that survive real-world data.
2023 — 2025
Data Scientist
Avalon.AI
  • Designed Avalon’s flagship statistical scoring model, translating physician behavior patterns into actionable insights on performance, appropriateness, and engagement opportunity.
  • Ran segmentation analyses to identify the KPIs driving physician scores, helping stakeholders explain placement rationale and refine engagement strategy.
  • Built client-facing analytics dashboards in Python and Databricks, enabling sales teams to present real-time scoring outputs, geographic coverage, and market opportunity in live demos.
  • Established GitHub-based DevOps and CI/CD workflows for analytics products, reducing deployment errors by 30% and accelerating delivery timelines by 60%.
2020 — 2023
Principal Investigator
DPCA · University of Iowa
  • Secured $20,000 in funding for novel ML research in genomics.
  • Developed and managed large-scale data engineering pipelines, processing 600M+ records and improving data processing efficiency by 50%.
  • Identified 5 genetic mutations associated with heart disease through advanced ML modeling.
2017 — 2023
Graduate Teaching Assistant
University of Iowa

Led discussion sessions with 60+ students for an array of courses, including Calc II, Engineering Math II, and Quantitative Reasoning. Consistently received excellent evaluations. Awarded departmental teaching award.

2017 — 2023
Founding Tutor
Math Platoon · University of Iowa

Free tutoring for military-connected students; 100% reached a passing grade.

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Research

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Projects

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Ray-traced render produced by the Rust ray tracer
rust · graphics
Ray Tracing in Rust

A test-driven ray tracer built from scratch following The Ray Tracer Challenge. Parallelized across cores, with antialiasing, reflection and refraction — rendering whole scenes described in plain YAML.

test-drivenparallelizedyaml scenes github ↗
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Stack & Credentials

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languages [4]
PythonSQLRRust
data [6]
dbtPySparkDatabricksSnowflakeFabricPandas
tooling [5]
LinuxGitBashPower BIExcel
domains [3]
StatisticsMLModeling
education
PhD, Applied Mathematics & Computational Sciences
University of Iowa
2019—23
MSc, Mathematics
University of Iowa
2017—19
Bsc, Mathematics
Indiana University - Bloomington
2013-17
certifications
GitHub Copilot
GitHub
Azure AI Engineer Associate
Microsoft
Fabric Data Engineer Associate
Microsoft
awards
Ballard & Seashore Fellowship
Outstanding Mathematics Teaching Assistant
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Contact

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Let's move some data.

Open to consulting, research collaboration, and interesting problems. Reach out — happy to share more or send the full PDF.