Sam Sepulveda

Background

About Sam Sepulveda

Recent Business Analytics & Data Science graduate from the University of Calgary. I specialize in creating deep and meaningful insights with data at the descriptive, prescriptive, and predictive levels. My strength lies in problem-solving, particularly in identifying opportunities for automation and insightful enhancements, and developing efficient solutions. Some of my notable projects include: • Generating monthly Power BI reports for financial business users at CNRL during my Co-op term. • Implementing VBA automations to streamline repetitive tasks within the team at CNRL - Co-op. • Utilizing Python to compute the theoretical Black-Scholes option pricing model and validating it through Monte Carlo simulations for my personal portfolio. I am eager to expand my knowledge in the energy trading sector. My aim is to apply my analytical thinking to develop data-driven solutions, which ultimately give me fullfilment by providing profound insight and value to those I collaborate with.