As a passionate Data Analyst, with over 5 years of experience across banking, fintech, and consulting, I am highly driven by the challenge of uncovering insights from ambiguous data. I specialize in simplifying complex information and presenting it in a clear, professional, and visually engaging manner, empowering teams to make confident, data-driven decisions. I believe that the right insights, delivered with clarity, can spark critical thinking and meaningful change across any organization.
I bring a deep skill set in SQL, Python, R Studio, Tableau, Power BI, and Excel (including VBA). From automating financial models and forecasting tools to building predictive credit risk models and stakeholder dashboards, my work consistently delivers measurable results, like securing $100K in investor funding and improving ECL accuracy by 70%.
I recently earned a Master’s in Business Analytics from Mercer University with a 4.0 GPA, where I also co-founded Bearlytics, the university’s first analytics club. I’m now transitioning into roles in Business/Data Analytics, Business Intelligence, or Business Development, where I can continue solving real-world challenges through data.
In my previous roles, I’ve supervised teams, conducted advanced credit and financial analysis, contributed to IFRS 9 compliance efforts, and supported executive decision-making through impactful reporting. I’m excited to keep learning, collaborate with industry leaders, and deliver insights that inspire action and drive success.