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AI Engineer. Data Scientist. Innovator.

I build AI systems and predictive models, backed by 4+ years of production data science and analytics infrastructure for Fortune 500 clients.

Projects

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College Basketball Predictive Model

Built a machine learning model to predict college basketball game outcomes, applying statistical modeling and feature engineering to historical game data.

PythonMachine LearningPredictive ModelingStatistics

Universal Claude Skills

Built an interactive study tool with resources for learning AI, alongside a universal skills framework for Claude Code that extends agent capabilities across projects.

ClaudeAI ToolingTypeScriptDeveloper Experience

Forecasting Models

Built multiple forecasting models — from multi-linear regressions to XGBoost and neural networks — that informed $10M+ in annual media budget decisions. Engineered 20+ features from marketing spend and customer behavior data to predict performance and optimize budget allocation.

PythonXGBoostNeural NetworksRegressionRFeature EngineeringAWS

K-Means Clustering

First clustering implementation on the MKS team. Built k-means models to personalize Nissan vehicle layout pages based on visitor intent signals. Model adopted as the team's reference architecture for future personalization work.

PythonK-MeansPersonalizationAWS

Product-Level Attribution

Designed a product-level attribution framework that connected site engagement to downstream conversion outcomes. Logic adopted as the team standard across 5+ analysts and integrated into recurring reporting workflows.

Attribution ModelingAdobe AnalyticsData StorytellingStrategy

GoArmy.com Site Enhancements

Led data-driven enhancements for GoArmy.com by performing pre/post comparative analysis of site performance. Findings shaped Phase 2 strategy and drove measurable improvements against recruiting KPIs.

Data StorytellingBusiness RecommendationsA/B Testing

GoArmy.com Subdomain Launch

Built the measurement framework for the GoArmy.com Civilian Subdomain launch — defining KPIs, building tracking infrastructure in Adobe Analytics, and establishing success criteria that informed the go/no-go decision for Phase 2.

Measurement StrategyAdobe AnalyticsData Storytelling

Quarterly Business Report Lead

Created a new product-level report covering marketing initiatives, site performance, and the new website launch. Built robust Adobe Analytics tracking for new content categories and delivered zero-escalation weekly reports for 6+ months.

Data StorytellingAdobe AnalyticsData VisualizationBusiness Recommendations

Spanish Site Reporting Lead

Launched first-ever analytics coverage for the Spanish-language site, expanding measurement to a previously untracked audience segment. Analyzed the impact of new campaigns and content on engagement and conversion metrics.

Data StorytellingAdobe AnalyticsData Visualization

Campaign Performance Lead

Primary analyst for major media campaign measurement across Army and Infiniti. Quantified campaign impact on site KPIs and delivered executive-ready insights that directly informed subsequent media planning cycles.

Data StorytellingAdobe AnalyticsData VisualizationExecutive Reporting

Catalyst Team

New Business Pitch Decks

Developed compelling data-driven presentations to demonstrate our analytics capabilities for new business pitches, helping to secure major client accounts.

Data StorytellingTableau

Component Tagging

Implemented first and third-party tracking in Tealium and Google Tag Manager ensuring accurate data collection on the site.

TealiumGTMData Collection

Lead Correlation Analysis

Correlated three years of site KPIs against T1/T2 sales lead data (2023–2026) to identify which digital behaviors most reliably predicted qualified lead generation. Findings directly influenced MINI's 2026 business strategy and media investment priorities.

PythonCorrelation AnalysisData StorytellingStrategyAdobe Analytics

ETL Pipeline Management

Manage the end-to-end ETL pipeline using Rivery, orchestrating data ingestion, transformation, and delivery to ensure reliable and timely data flows for reporting and analytics.

RiveryETLData PipelineData Engineering

About Me

Austin Moore professional portrait

AI engineer and data scientist building predictive models, AI developer tooling, and machine learning systems. I work at the intersection of AI and data — from training models on sports and market data to creating frameworks that extend AI agent capabilities.

My foundation is 4+ years building production forecasting systems and analytics infrastructure for Fortune 500 clients at a top global digital agency. Promoted from Intern to Senior Analyst in under 4 years, my ML pipelines and forecasting models have been adopted into major budget planning cycles and remained in production years after delivery.

I have served as the primary analytics lead across 10+ brands spanning automotive and government verticals — owning quarterly business reviews, campaign reporting, strategic measurement frameworks, and stakeholder relationships.

B.S. in Economics (Mathematical Emphasis) from the University of Wisconsin-Madison. Certified in Anthropic Claude AI API, Claude Code, AI Fluency Framework, and Agent Skills. Currently exploring AI mentoring to help the next generation of analysts and data scientists navigate the shift toward AI.

AI Credentials

Claude with the Anthropic API

Anthropic

Mar 2026

Claude Code in Action

Anthropic

Mar 2026

AI Fluency: Framework & Foundations

Anthropic

Mar 2026

Introduction to Agent Skills

Anthropic

Mar 2026

Mentoring

If you are getting started in AI, analytics, or data science and want to talk through anything — career moves, technical skills, projects — feel free to reach out. I have been through a lot of the same challenges and I am happy to help however I can.

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