With over two years of experience in Applied Data Science/ML/AI and Software Engineering, I'm passionate about leveraging my interdisciplinary background to build solutions.
Having graduated cum laude in Computer Science from CUNY Queens College (Dec 2023), I have built strong technical foundations through two Machine Learning research internships with Dr. Jonathan Gryak and three significant professional developmental programs: Break Through Tech AI, CUNY Tech Prep (Data Science), and Data Science Summer School at Microsoft Research in NYC. Combining with my previous career in music as an audio engineer, songwriter, and multi-instrumenatlist, I'm equiped with a distinct blend of resilience, creativity, and problem-solving capabilities that gives me resilience in today’s tech landscape.
My current career goal is to expand my technical and business knowledge across diverse sectors in order to build transferable skills and manage complex problems impacting overall global wellness, from finance to the arts. I consider collaboration and mentorship high priorities when evaluating career opportunities and strive to be an equal asset to future employers, teams, and mentees.
I'm currently working as a Full Stack Data Science Consultant but pursuing Full-Time roles in the same, Data Engineering, Applied ML/AI, and Back-End Software Engineering.
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