I am a highly motivated individual with experience in fraud research, data analytics, predictive modeling, and supervised machine learning. I am currently working at Interac Corp, Canada's best in class payments network. Using cutting edge data science tools, I am committed to deriving new models, fine tuning existing predictors, and curating fraud prevention strategies that lower losses from financial crime. While working full time my passion for continuos improvement has led me to pursue a Masters degree at University of Pennsylvania to better solidify my knowledge of computer science fundementals.
I have recevied the Queens' Golden Jubilee Award due to my strong leadership and commitment to volunteering. Starting out with an undergraduate degree in Science and Business (Bsc.) with a Biotechnology specialization, I have worked across 7 different industries and developed a wide array of skills. As I continue to develop and thrive in my career, I want to apply these skills and solve problems that span across organizational domains.
Whether you want to connect with me about a cool data science project, talk about payments, or create a protein visualization tool, I will be more than happy to get a conversation started!
This was the final project for University of Pennsylvania's CIT 591 course on Software Development. Keeping the user's experience on an e-commerce platform in mind, this project was designed to mimick a movie rental store.