juhip
Juhi Parekh
Recently Published
Mock pricing zones
Playing around with different geospatial pricing models
Clustering origin-destination pairs based on their matching tendency
Open-sourced k-means clustering codes
Output was a set of origin-destination pairs that exhibit similar matching behavior for real-time pricing
Source-destination based demand
Radius allocation for demand fulfillment based on source-destination pairs
HTML
Transit vs share high priority routes viz post clustering
Analysis of share rides vs transit routes
Open-sourced clustering codes for share vs transit analysis
Output: Set of routes where share can price higher based on low transit connectivity and vice versa
To_Manyata airport_heatmap(top locations)
Heatmap visualization of rides to airport
Bangalore flatfare expansion plot
Live hotpots in yellow. Additional high demand zones in red
Locations plot by category [univariate]
Bangalore flat-fare locations