Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

This is a real-world business use case, often tackled with data analysis, machine learning, and geospatial visualization. working on a store placement prediction project where the goal is to visualize and predict ideal locations for placing a new store, using a map generated on your system.

KnowSite: Leveraging Urban Knowledge Graph for Site Selection

Public charging station utilization dataset for the city of Hamburg. Dataset is described in the respective paper: Placing BEV Charging Infrastructure: Influencing Factors, Metrics, and their Influence on Observed Charger Utilization

Coco provides a fast, exact method to solve variations of the Reserve Selection problem including connectivity. It provides a python implementation using the Gurobi ILP solver

Interactive Streamlit app using ML and geospatial analysis to prioritize EV charging station locations

Multi-criteria site selection for coffee shops across 42 Jakarta districts and how OpenStreetMap coverage bias broke the first model.

Land acquisition intelligence skill for Claude — score parcels for datacenters, warehouses, solar farms, and industrial sites using free ArcGIS/OSM data

Live data-center, power-grid, energy, interconnection-queue, fiber, natural-gas & M&A intelligence for AI agents — 79 tools, 311 markets (DC Hub Power Index), 1,400+ tracked M&A deals, live ISO grid telemetry across PJM/ERCOT/CAISO. Remote MCP at dchub.cloud/mcp. Query & cite (CC-BY-4.0).

Interactive Tableau dashboard for evaluating AI data center deployment readiness across 50 countries.

Optimal site selection for schools using Genetic Algorithm (GA) implemented in Python with DEAP. Features selection, crossover, mutation, and convergence visualization — ideal for operations research and optimization portfolios.

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

MCP server for commercial disruption intelligence, WARN and layoff signals, company context, geospatial territory analysis, and x402-ready agent workflows.

This project analyzes restaurant site selection in Cambridge by examining human mobility patterns, street network centrality, and land use. Using check-in data from Gowalla and OSMnx for street network and land-use mapping, it identifies optimal restaurant locations. The study prioritizes accessibility to maximize foot traffic and profitability.

说出想开什么店 + 城市，AI 反向扫描全城，找出「需求旺、对手少」的机会洼地（蓝海点）选址，输出蓝海评分报告 + 高德地图二维码。别再凭直觉赌选址。LBS × AI 高德开放平台 Skill。

GIS screening model ranking Warsaw real estate development opportunity zones using OSM, Python/GeoPandas, and QGIS.

Streamlit tool for retail real-estate site selection — glass-box scoring, BAFU flood risk, leasehold pro-forma & portfolio management, on open data (OSM · Swiss BFS · BAFU). Reference brand: On.

Interactive choropleth map dashboard for retail and operations site selection in Malaysia

GIS-based wind farm site selection using AHP, integrating terrain, infrastructure, and environmental constraints with validation against existing turbines.

String matching with regrex to extract Nevada site selection factors