§ Data and reporting · Case study
Sports analytics and data platform
Python data jobs and an ASP.NET Core application connect sports data, model outputs, and reporting views.
01
Problem
Sports data and model outputs arrive through separate jobs and sources. A useful web view needs them in a consistent shape.
02
Engineering challenge
Keep precomputed model artifacts and application views aligned as source data and models change, while handling missing or stale inputs.
03
What was built
Built Python ingestion and prediction jobs alongside ASP.NET Core controllers and Razor views for matchups, predictions, and analysis.
04
Observable outcome
The repository contains working data jobs, model artifact services, controllers, and dedicated sports analysis views.
System flow
How the pieces connect
- 01Sports data sources
- 02Python data and model jobs
- 03Application services
- 04Analytics web views
On the bench
Technologies and disciplines
- ASP.NET Core
- C#
- Python
- Data pipelines
Why it matters
What this means for a client
The same pattern applies when a business needs recurring data preparation connected to a dashboard its team can actually use.
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