Aviation Analytics Intelligence Platform

Comprehensive analysis of global flight operations using real Spire Aviation + IATA/ICAO datasets. Interactive Folium geospatial maps, on-time performance benchmarking, temporal patterns — powered by 3+ years of hands-on aerospace domain expertise. Route-optimisation projected 12% fuel savings: $15M-$30M/yr for a mid-fleet carrier.

ⓘProject description and metrics shown here are representative — drawn from a real engagement, with the client name anonymized where confidentiality applies.

Airlines and airport operations teams lacked a unified view of global flight performance data. Existing tools were siloed by airline, making cross-carrier benchmarking and route optimization nearly impossible at scale.

We built a comprehensive aviation intelligence platform using real Spire Aviation + IATA/ICAO datasets. The system includes interactive Folium geospatial maps, on-time performance benchmarking, temporal pattern analysis, and anomaly detection across 50+ airlines and 200+ airports.

# Geospatial route visualization with Folium
import folium
from folium.plugins import AntPath

def plot_route_network(routes_df, center=[25.2, 55.3]):
    """Visualize airline routes with animated flight paths."""
    m = folium.Map(location=center, zoom_start=4,
                   tiles='CartoDB dark_matter')

    for _, route in routes_df.iterrows():
        AntPath(
            locations=[[route.origin_lat, route.origin_lon],
                       [route.dest_lat, route.dest_lon]],
            color='#F0A500', weight=2, opacity=0.6,
            dash_array=[10, 20], delay=1000
        ).add_to(m)

    return m

Delivered an interactive analytics platform covering 50+ airlines across 200+ airports, with 15+ custom visualizations. The platform enabled data-driven route optimization recommendations that projected 12% cost reduction in fuel spend.