As a Senior Quantitative Analyst at M&T Bank, I apply my data analytics expertise and quantitative skills to support the Treasury department in developing, validating, and implementing statistical and predictive models for various financial and risk management purposes. I have over four years of experience in the banking industry, working with large and complex datasets, using various tools and techniques such as R, Python, SQL, SAS, and Tableau. I have also contributed to multiple projects involving interest rate risk, stress testing, and capital planning, delivering high-quality results and insights to various stakeholders. I am passionate about finding innovative and effective solutions to complex problems, and I enjoy collaborating with my team and other departments to achieve our shared goals. I value continuous learning and improvement, and seek new opportunities to enhance my skills and knowledge in the field of data analytics.