Data Analysis Projects in TysonsData Analysis Projects in TysonsSelf-initiated internal product. Odds Desk uses public data only. It is not client work, a trading tool, or financial advice.
I built this because a research brief is only as trustworthy as the source snapshot behind it. Catalog freshness, derived summaries, file identity, and editorial status need to stay consistent across every generated artifact.
The workflow synchronizes a public catalog, exports one canonical bundle, generates and validates a summary, regenerates a manifest, checks declared SHA-256 values against disk, and produces a dashboard and Markdown brief from the same saved files.
The workflow fails closed. If a required validation fails, the bundle stops, the evidence is preserved, and no buyer-ready issue is produced.
The gallery shows a July 30, 2026 snapshot with 675 saved markets, 36 unverified research leads, zero verified cards, and four of four declared hashes matching disk. The state remains RESEARCH_PREVIEW.
Best fit: public API ingestion, reproducible research bundles, validation pipelines, provenance checks, fail-closed editorial workflows, and automated briefing systems. As a designer, I focused on crafting an experience that brings clarity to complexity. This project embodies the future of intelligent stadium management and sets a new standard in how we interact with data at scale.
This bird’s-eye view gives an effortless preview of how data flows across the venue, highlighting availability, network performance, and traffic patterns, helping managers ensure smooth operations for thousands of spectators.
Through motion-driven design, complex data is turned into meaningful insights. Dynamic, color-coded charts and intuitive visuals reduce cognitive load, offering clear, actionable information, like network status, crowd accessibility, and engagement - at a glance.
The real power of this animation lies in its ability to provide contextual insights at scale, enabling proactive decision-making. 
