N*****a
About Candidate
I am a Computer Science student with a strong quantitative and research-oriented background, currently completing my bachelor’s degree with a 4.0 GPA. My work focuses on analyzing complex datasets, building reliable data pipelines, and translating technical findings into clear, actionable insights.
Through my experience as a Software Engineering Intern, I have worked extensively with Python, SQL, and statistical modeling to support data-driven decision-making, including time-series analysis, forecasting, and validation of large-scale operational data. I am comfortable conducting independent analysis, documenting results, and collaborating with cross-functional teams in research and applied settings.
I enjoy working in environments that value curiosity, structured thinking, and evidence-based problem solving. I am especially interested in roles that combine quantitative analysis, research, and real-world impact, where careful analysis and clear communication are equally important.
