Stock Price Prediction with Machine Learning

• Trained multiple machine learning models on historical stock price data to predict 1, 2 and 4-week future prices.

• Compared the performance and accuracy of a Long Short Term Memory neural network with a traditional multiple linear regression model, achieving an R2 error of 99.5% and 98.9% for the respective models.

• Implemented in Python using pandas, Keras and scikit-learn.

GitHub

Social Media Monitoring Engine

• Developed a social media monitoring engine on Azure for a commercial client as part of an Agile team.

• Implemented user stories, regular sprints, retrospectives, issue tracking and a project wiki.

• Configured the engine to monitor Twitter, Instagram, Reddit and GitHub accounts for specific post content, location and date/time.

• Built as a C#/.NET web application, including automated emails and HTTP requests via REST APIs.

Excel IRR Macro

• Created a VBA macro to compute a business client's investment interest according to asset value cash flows, required IRR and simulation date inputs.

• Improved precision of IRR to 99.9% and automated a previously manual calculation process.