An award-winning solution proposal for optimizing vertiport site selection in Urban Air Mobility (UAM) using multi-source data analysis and platform logic design. Recognized at the 9th Hyundai Motors University Case Competition.
A comprehensive Next.js app that aggregates and displays real-time COVID-19 statistics from 8 data sources, offering a unified view of cases, deaths, and recoveries worldwide. Built in April 2023 with React 18, Next.js 13, and Redux Toolkit, featuring live updates, statistics tracking, and an intuitive interface for monitoring global pandemic trend
Python-based ARIMA trading strategy tool for SPY (S&P 500 ETF) with Auto-ARIMA tuning, confidence-based signals, and multi-source data (Yahoo, FRED, Alpha Vantage). Includes full backtesting with realistic costs and detailed performance metrics like Sharpe Ratio and Max Drawdown.
An open dataset and statistically honest analysis of road hazards and near misses for safe-streets advocacy. Exposure-normalized, network-aware, benchmark-validated hotspot statistics (Getis-Ord Gi* with FDR), multi-source ingestion (BikeMaps, SimRa), a QGIS plugin, bilingual EN/ES advocacy briefs, WCAG 2.2 AA web view. Apache-2.0.
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