I am a Software Engineer I at Mastercard, where I apply my passion for artificial intelligence and machine learning to create and implement innovative solutions for global spending data analysis. As part of the SpendingPulse team, I collaborate with diverse colleagues to enhance the tool by developing intuitive user interfaces and optimizing backend systems. This dynamic environment challenges me to innovate and problem-solve, shaping the future of financial data analytics.Alongside my full-time role, I am pursuing a master's degree in data science with a technical specialization at Loyola University Maryland. With a bachelor's degree in computer science and a minor in mathematical sciences from Florida International University, I have a strong foundation in the principles and practices of software development and data analysis. I also have hands-on experience in front-end development, backend architecture, and DevOps practices from my internship at UKG. My skills include machine learning algorithms, k-means clustering, Angular, and other technologies. Eager to contribute to the world of AI and ML, I embrace continuous learning to stay at the forefront of advancements. Let's connect and make an impact together!
Listed skills include Mathematics, Leadership, Team Building, Spring Boot, and 36 others.
