About Scott

Scott LeDuc

Full-Stack Analytics & AI Practice Leader

Building the critical layer between raw data and confident business decisions— from statistical validation to production deployment.

Fairfax, VALinkedInGitHub

What Makes This Background Unique

Most data professionals specialize. Data scientists build models but struggle with production deployment. BI developers create dashboards but lack statistical rigor. Cloud architects design infrastructure but don't speak the language of business outcomes.

Scott bridges all three. With an MS in Business Analytics, AWS ML certifications, and hands-on experience deploying solutions used by 1,200+ professionals, he delivers end-to-end: from whiteboard strategy sessions to Lambda functions in production.

The result? Validated impact you can defend. Not "we think it worked" but "$706K annual revenue with 6:1 ROI, p < 0.05."

Experience

Career Journey

Solutions Architect Operations

Amazon Web Services

2022 – Present
  • First dedicated SA operations member for AWS SLG & EDU vertical
  • Supporting 1,200+ builders across 18 global sub-regions serving 10,200+ customers
  • Built enterprise dashboard with 22,000+ annual views (highest-utilized tool in WWPS)
  • Delivered $17M+ in business impact through statistical validation programs

MS Business Analytics

College of William & Mary

2021 – 2022
  • Advanced coursework in ML, causal inference, and optimization
  • Capstone projects in neural networks and time series forecasting
  • Focus on bridging technical analytics with business strategy

Analytics & Business Intelligence

Various Organizations

2013 – 2021
  • Built and scaled BI platforms serving hundreds of stakeholders across telecommunication, ecommerce, and advocacy industries
  • Developed predictive models for customer behavior and revenue forecasting
  • Led cross-functional analytics initiatives with measurable ROI

Organizations

Where I've Made Impact

Amazon

T-Mobile

Charter Communications

National Geographic Society

Virginia DMAS

Feeding America

American Diabetes Association

Capabilities

The Full Stack

End-to-end analytics expertise from strategy through production deployment.

Strategy
Business problems → analytical frameworks
Statistics
Causal inference with PSM, DiD, bootstrap
Data Science
ML models with 89%+ accuracy
Engineering
Serverless AWS architectures
Visualization
Executive dashboards at scale
Governance
Data contracts & GenAI readiness

Credentials

Education & Certifications

Education

Master of Science, Business Analytics

College of William and Mary

Fall 2021 – Fall 2022

Key Coursework:

  • Artificial Intelligence & Deep Learning
  • Machine Learning
  • Big Data & Cloud Computing
  • Optimization Methods

Certifications

  • AWS Certified Machine Learning Engineer – Associate2025
  • AWS Certified Machine Learning – Specialty2024
  • Tableau Certified Specialist2021
  • Certified SAFe 5 Agilist2021

Sample Work

Featured Projects

Detailed case studies with methodology, results, and business impact.

Let's Connect

Whether you're exploring a potential collaboration, discussing an opportunity, or just want to talk data—I'd enjoy the conversation.

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