AISdb Python package for smart AIS data storage and integration.
Unity SDK for XR analytics (VR/AR/MR) — session telemetry to power Gossip Analytics dashboards.
Production-grade data engineering pipeline for mobility data — FastAPI + PostgreSQL/PostGIS, sync & async ingestion, real-time WebSocket status, Dockerized, designed to scale to 100M+ trips.
GPU-first spatial analytics for Python. Drop-in GeoPandas replacement powered by runtime-compiled CUDA kernels
Production-grade reference for in-process spatial SQL with DuckDB: vectorized geospatial analytics, GeoParquet/GeoJSON ingestion, query patterns, Python integration, and PostGIS/GeoPandas migration.
Offensive gravity analysis — measuring off-ball influence on NBA spacing and shot quality, 2023-24.
End-to-end data engineering projects focused on scalable storage, distributed processing, spatial analytics, and performance-aware system design using PostgreSQL, Apache Spark, and RocksDB.
Engineering-focused portfolio showcasing relational query optimization, distributed spatial analytics with Apache Spark, spatiotemporal hotspot detection, and embedded NoSQL storage using RocksDB.
In this project, I analyzed transactional data from "City Harvest," a fictional small grocery store located in San Francisco. This repository contains the project files and datasets used to explore sales trends, customer behavior, and product performance.
Production Python patterns for spatial graph databases and network routing with Neo4j and Cypher — spatial indexing, pathfinding, OSM ingestion, and routing algorithms.
Lightweight AISdb Python package for smart AIS data storage and integration.
Cloud-native pipeline that extracts spectral indices from satellite imagery and forecasts environmental trends with XGBoost
Real-time social distancing and spatial monitoring system utilizing YOLOv3 object detection, Euclidean distance logic, and Non-Maximum Suppression (NMS).
DRC's 30 x 30 Spatial Planning Toolbox
Implementation-ready guidance for privacy-preserving spatial analytics — federated learning, secure MPC, and differential privacy for GIS pipelines.
Core geospatial, spatial statistics, MCDA, and urban resilience engines for the PlanX ecosystem.
Add a description, image, and links to the spatial-analytics topic page so that developers can more easily learn about it.
To associate your repository with the spatial-analytics topic, visit your repo's landing page and select "manage topics."