Data Informed Narratives

A git-backed personal 'second brain': a capture layer (Readwise Reader, Drive, live MCP tools) feeds an AI compiler that turns raw ingestion into a durable, cross-linked wiki, run on a compound-engineering loop so every session starts smarter than the las…

How I built a git-backed second brain: a capture layer, an AI compiler that turns raw ingestion into a durable wiki, and a compound-engineering loop that lets every session start smarter than the last.

Led the build of a production customer lifetime value (LTV) model spanning every major US streaming service, tier, and distributor: combined subscription payments and subscriber churn data with advertising revenue into a single blended LTV framework, now…

An examination of AI-native approaches to M&A and FP&A.

Building an AI-native household management app for busy parents that learns about your family over time and drives actionable workflows rather than piecemeal outputs.

Built a multi-page financial planning dashboard in Streamlit + PostgreSQL to model a 40-year household projection, replacing a multi-scenario Excel model with a fully interactive, scenario-driven application.

A framework for building the most compelling and scalable distribution model for Tier 2+ live sports, including analysis of recent industry announcements, economic models, programming strategy, and the Super App approach.

Ported a Claude Code-built, synthetic Netflix streaming analytics dashboard to a production Sigma workbook, rebuilding the Python data pipeline from scratch.

An examination of the current state of live sports distribution, new and emergent leagues, and why a jagged frontier remains despite growing opportunity.

Interactive KPI & cohort analysis dashboard built with Claude Code.

Migrated personal website from Jekyll to Hugo with a full redesign and new Projects section.

FloRacing 24/7 launched on The Roku Channel, bringing live grassroots racing to millions of viewers across the leading connected TV platform in the U.S.

Led a 0-to-1 subscription, advertising, and engagement demand forecasting data product with agentic workflows integrated into Salesforce, Slack, and Snowflake.

Launched FloSports' first FAST channels on Prime Video and Fubo, bringing live racing and hockey to 130M+ monthly viewers — the only nationally available FAST channel with live hockey coverage.

Evaluating home purchase scenarios and associated investment opportunity costs.

Extending Stock Portfolio Analyses and Dash by Plotly to track Robo Advisor-like Portfolios.

Expanding Jupyter Notebook Stock Portfolio Analyses with Interactive Charting in Dash by Plotly.

My two most recent blog posts were about Scaling Analytical Insights with Python; part 1 can be found here and part 2 can be found here.

If you would like to read Part 1 of this Series, please find it at this link.

In recent months, I’ve written about some of the critical undertakings and initiatives which I oversee as VP of Product at FloSports.

As VP of Product at FloSports, I oversee our data warehouse roadmap and manage a team consisting of a senior product manager, product revenue developers, data engineers, and data analysts.

In an ongoing attempt to be helpful to and learn from others serving in similar job capacities, I am continuing to review my experiences in building out our data infrastructure over the past ~12 months and discuss the most helpful applications which curre…

I am presently VP of Product (Revenue and Analytics) at FloSports, a direct-to-consumer provider of live streaming and on-demand digital sports content.

As an alum of SMU and a staunch follower of the athletics program, particularly men’s football (well, starting again this year) and men’s basketball, I am inherently biased.

Major sporting events, such as the Super Bowl, NCAA March Madness tournament, and the Masters were a huge part of my life while I was growing up in Atlanta – and they certainly continue to be so today.