MSBA Candidate · UCLA Anderson · Dec 2026

Emmet
Andrews

Data Scientist & Product Manager

Engineering AI workflows, predictive models, and data-driven user experiences.

Hello! I’m a Master’s candidate in Business Analytics at UCLA Anderson (graduating Dec 2026) with a background spanning NASA, Fox Entertainment, and Legendary Studios.

I combine six years of cross-functional leadership in high-stakes entertainment environments with hands-on technical skills, including Python, SQL, LLM agent architecture, and predictive modeling.

Whether designing self-serve demand dashboards, building cost-optimized AI agent services with Claude Code, or guiding executive slate investments, I focus on turning complex data into seamless products.

View projects View resume (PDF)

Featured Projects

End-to-End Data Product & Predictive Analytics

NASA Demand Forecasting & Capacity Allocation Tool

Data Science Graduate Intern @ NASA (JPL / Pasadena, CA)

  • Python
  • SQL
  • Dagster
  • Dash
  • AG Grid Enterprise
  • Medallion Architecture

Owned the full product lifecycle for an internal demand-forecasting and capacity-allocation platform across 20+ research facilities.

Key achievements & impact

  • Translated complex researcher facility requests into an automated medallion ETL pipeline to process unstandardized data.
  • Designed and shipped an interactive, 4-level hierarchical rollup dashboard enabling stakeholders to filter by research interest and generate on-demand utilization reports.
  • Engineered a predictive capacity allocation model forecasting demand against finite constraints, giving executive leadership actionable insights on saturation risks.

Rapid Prototyping & AI Infrastructure

Cited-Answer AI Agent Service

Lead Engineer / Personal Build

  • Python
  • Claude Code
  • LLM Tooling
  • API Gateways
  • Rate-Limiting Protocols

Architected and deployed a private gateway and AI agent service engineered to collapse search friction and deliver verifiable, cited technical research.

Key achievements & impact

  • Built single-search and deep multi-query pipelines delivering page-level document citations and user memory across research sessions.
  • Treated unit economics and system resilience as core product requirements, optimizing query infrastructure to ~$0.004 per quick answer and ~$0.10 per deep answer.
  • Implemented per-user rate-limiting, graceful fault handling, and production error monitoring.

Audience Engagement & Content Performance Modeling

Entertainment Analytics & Slate Strategy

Development Executive @ Legendary Studios & Coordinator @ Fox Entertainment

  • Product Analytics
  • Causal Inference
  • Time Series Analysis
  • Nielsen Data

Analyzed audience engagement, viewership ratings, and market trends across 30+ animated TV series and global IP investments.

Key achievements & impact

  • Synthesized complex audience metrics into strategic slate recommendations for executive leadership, initiating international outsourcing and production efficiency initiatives.
  • Conducted deep-dive market and genre analysis identifying high-growth opportunities in adult animation and digital content scheduling.
  • Coordinated cross-functional workflows across technical delivery teams, creative partners, and network executives against strict linear and streaming release deadlines.

About me

From high-stakes entertainment strategy to technical building

My path to technical product management has been anything but linear. I spent six years in entertainment development at Fox and Legendary Studios learning how high-stakes product decisions get made, how to align creative and technical stakeholders, and how audiences engage with complex systems.

I loved the strategic decision-making, but I knew I wanted to be on the other side of the screen: actually engineering the software and systems that drive those experiences. That pull led me to UCLA Anderson for my Master’s in Business Analytics, and later into data science work at NASA.

When I’m not at school or work, I enjoy woodworking, board game nights, and being a dual Canadian-US citizen.

Skills

Technical skills & tools

AI & Software Build

  • LLM Tooling
  • Claude Code
  • API Integration
  • Python (pandas, scikit-learn)
  • Git/GitHub
  • App Prototyping

Data Engineering & Cloud

  • SQL
  • dbt
  • Dagster
  • Azure Cloud
  • Medallion Architecture
  • ETL Pipelines
  • Dash
  • AG Grid Enterprise

Product & Analytics

  • Product Lifecycle Ownership
  • User Discovery
  • Predictive Modeling
  • Time Series Forecasting
  • Causal Inference
  • A/B Testing

Strategy & Leadership

  • Cross-Functional Alignment
  • Stakeholder Management
  • Data Storytelling
  • Executive Presentations
  • Budget & Schedule Optimization

Let’s connect

I am graduating in December 2026 and actively exploring opportunities in Product Management, Data Science, and Product Analytics—particularly at forward-thinking technology companies and entertainment/media platforms. I’m currently based in Los Angeles, CA, but am open to relocating.