We are the Sheridan Sigma Squad. A collective of data enthusiasts, developers, and designers turning raw data into actionable insights.
Formed specifically for the Sheridan Datathon 2025, the Sigma Squad represents the intersection of statistical analysis and creative problem solving.
Our mission is to leverage machine learning and predictive modeling to tackle real-world challenges, all while maintaining a user-centric design philosophy.
Our proposed solution for this year's theme: Predictive Analytics in Urban Planning.
Identifying high-traffic congestion zones using historical GPS data and municipal sensor arrays.
Applying Python-based clustering algorithms to categorize traffic patterns and predict peak load times.
A responsive web dashboard that allows city planners to simulate traffic diversion strategies in real-time.
Official Partners of Sheridan Datathon 2025
We are excited to present our findings. Stop by our table or reach out to discuss our methodology.
