Michael Sinanian

Quick Snapshot

Role: Data analyst and visualization designer
Team: Independent research project
Customers: Aviation stakeholders exploring how global events affect U.S. airport operations

Time series comparing TSA security delays with terror trending signals from 2013 to 2015. — Time series analysis illustrating how security delay minutes and terror-related search interest rose and fell over time.

Mandate / Opportunity / Problem Scope

The airline industry feels the ripple of every global event. I set out to test whether spikes in terror-related search interest alone could predict increases in TSA-related delays across U.S. airports from 2013–2015.

What I Led / Delivered / Highlights

Combined Bureau of Transportation Statistics delay data with Google Trends signals for terror-related topics.
Wrote custom Python scripts to clean massive CSVs before building exploratory dashboards in Tableau.
Visualized scatterplots, time series, and correlation analyses to interrogate relationships between trending events and operational slowdowns.

Scatterplot chart comparing terrorism-related news coverage with TSA delay minutes. — Scatterplot highlighting the weak relationship between terrorism coverage intensity and downstream TSA delays.

Dashboard of Tableau visualizations monitoring terrorism trends alongside TSA delays. — Exploratory Tableau dashboard combining Google Trends data with Bureau of Transportation Statistics delay metrics.

Impact / Lasting Value / Takeaway

The analysis showed little correlation between terror trending and security delays, with only the largest terror shocks causing measurable disruption. The work provided a data-informed reality check for operational planning discussions.

Terror Trending & Airline Security Delays

Quick Snapshot

Mandate / Opportunity / Problem Scope

What I Led / Delivered / Highlights

Impact / Lasting Value / Takeaway