Alex Polenberg.

• Coached a large CPG distributor through the establishment of their analytics foundation on Snowflake. Created governed, version-controlled marts from mixed-source systems using dbt, with ~500 automated data quality tests.
• Advised on best practices in Databricks from a BI perspective, guiding client migration from Tableau to Databricks with a focus on self-service agentic analytics.
• Supported client migration from on-prem SAP warehouse to Databricks, introducing Terraform-based IaC and CI/CD workflows to cut manual maintenance and reduce barriers to entry.
• Lending expertise on internal data architecture initiatives to define scalable, governed lakehouse environments capable of supporting multi-domain analytics and AI workloads.

• Designed Avalon’s flagship statistical scoring model, translating physician behavior patterns into actionable insights on performance, appropriateness, and engagement opportunity.
• 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%.

• 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.

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.

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