Language Breakdown
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Collaboration Network
Global Impact visualization
Repos
37
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Agbozu Ebingiye Nelvin
@Nelvinebi
gaopengbin
@gaopengbin
HU TIANQI
@Ricky-HU96
Gongfan Fang
@VainF
mingo-wu
@mingo-wu1
Top Repositories
Computer Vision Image Segmentation of Substation Locations from Satellite Imagery and Optimization Build Planning
KHUDA 서울시 빅데이터 캠퍼스 멘토링 3기
Developed a machine learning-based site selection model for Jollibee using geospatial analysis, population data, and points of interest to identify and rank optimal store locations in Metro Manila.
Spatial-Economic Analysis for Optimal EV Charging Station Placement using Machine Learning.
Developed a data-driven framework using K-means clustering and XGBoost regression to identify optimal coffee shop locations across Ho Chi Minh City.
This Project Analyzes And Compares Urban Road Networks From Different Geographical Locations Using Graph Theory To Evaluate Their Structural Properties, Accessibility, And Spatial Organization.
A data science capstone project analysing usage, demand, and spatial patterns of Barbados’ 57 public EV charger stations to recommend optimal locations for charger expansion, upgrades, or new installations.
GeoBike-Station-Planner: A Python-based tool leveraging geospatial analysis to optimize new bike station placements in Washington, D.C. Features include geofencing, grid-based clustering, and service radius checks to identify high-demand, underserved areas.
A real-time smart city platform that fuses live traffic camera computer vision, geospatial analytics, and external data (weather/events) to forecast congestion and optimize traffic signal timings for reduced delays.
Geospatial flood risk modeling for Montpelier, VT | K-means clustering, ITV detection, premium optimization
Open Source Impact
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