• Reduced time needed for historical stock analysis by 90% by creating Python scripts that automated fetching most recent PSE price data and parsed through previous stock data, saving 125 man-hours.• Created programs that automatically calculated Price-Earnings Ratio, Price-Book Value Ratio, and Dividend Yield charts per company, reducing time needed to generate them from 4 hours to 5 seconds.• Developed a ML model that used historical macroeconomic factors to predict stock prices… Show more • Reduced time needed for historical stock analysis by 90% by creating Python scripts that automated fetching most recent PSE price data and parsed through previous stock data, saving 125 man-hours.• Created programs that automatically calculated Price-Earnings Ratio, Price-Book Value Ratio, and Dividend Yield charts per company, reducing time needed to generate them from 4 hours to 5 seconds.• Developed a ML model that used historical macroeconomic factors to predict stock prices, accurate to 3% of the actual stock price.• Provided advice on the design of the Luna app front-end. Show less

• Trained 100+ students in Web, Python, and iOS Development, and more through designing, organizingand launching the Tier Training Program. Personally mentored 5 students in learning Swift and SwiftUI.• Maintained the organization’s income from development projects despite the pandemic by finalizingagreements with 4 organizations to develop software solutions for their use.• Successfully launched the new organization website, increasing traffic by 3x over average levels.

• Fixed multiple bugs in the Objective-C codebase of the WHS Monitor app.• Rewrote the API handler to take better advantage of concurrency and to avoid timeouts.• Refactored ViewControllers to take advantage of new UIKit APIs and reduce memory usage.