Stella A. Email & Phone Number

I am a Data Scientist with a deep and interdisciplinary understanding of Economics, Mathematics, and Statistics, underpinned by extensive hands-on experience in Machine Learning and AI. Graduating with an HBSc in Economics (specialist) and double minors in Math and Statistics from the University of Toronto, I have cultivated a diverse and adaptable skill set that enables me to approach complex problems with both analytical rigor and creative insight.Currently, as a Machine Learning Engineer Intern at Radical AI, I am focused on applying my expertise to real-world challenges. I've led the development and deployment of AI-driven tools—such as an interactive chatbot that boosted customer retention by 15%—leveraging state-of-the-art frameworks like OpenAI Assistant API and Google Gemini. My research projects, including predicting patent approvals through Natural Language Processing (NLP) and forecasting GDP and consumption trends using advanced time series models, demonstrate my ability to bridge theoretical knowledge with practical solutions that have tangible impact.What drives my work is not only the technical mastery of machine learning algorithms, but also an understanding of the deeper aspects of decision-making. While trained to think quantitatively, I recognize the limitations of purely rational models and incorporate an awareness of human behavior, emotions, and biases into my approach. I believe that meaningful, data-driven insights often require going beyond numbers to explore how individuals and systems operate in nuanced, real-world contexts.I hold certifications in Python, SQL, and Databases from IBM and HackerRank, with more advanced certifications in Data Science and AI in progress. Proficient in Python, R, SQL, and leading machine learning libraries like TensorFlow, PyTorch, and scikit-learn, I excel at building data-driven solutions that are scalable, adaptable, and rooted in both theory and application.I thrive in environments where data science meets the human element, integrating insights from game theory, behavioral economics, and cognitive science into technical solutions. Whether it's optimizing an AI system or analyzing behavioral patterns, I approach challenges with a blend of strategic thinking, empathy, and intellectual curiosity.