Ryan Mulcahy

Data-driven software engineer with solid experience in machine learning, data analysis, and software development. Skilled in applying statistical models and machine learning techniques to real-world datasets, with practical experience building AI-powered applications and conducting rigorous data analysis in sports analytics and EdTech. Adept at working collaboratively in cross-disciplinary teams, writing clean and maintainable code, and continuously learning new technologies. Passionate about leveraging AI and data to create impactful solutions and improve decision-making processes.

• Intro to Machine Learning (10-301): Decision trees, neural networks, unsupervised learning, reinforcement learning
• Machine Learning in Practice (11-344): Feature engineering, model selection, error analysis for predicting term deposits