I am a driven Information Systems student specializing in Business Analytics with a proven track record of leading technical teams as a Scrum Master. I am adept at utilizing Agile sprint methodologies to orchestrate the rapid, end-to-end development of multiple enterprise-grade systems. By combining a strong analytical mindset with servant-leadership skills, I am eager to drive scalable, data-informed solutions in a dynamic corporate environment.
On the technical front, I bring hands-on experience in cloud data architecture, engineering comprehensive ETL pipelines, and developing full-stack applications using Next.js, React Native, and Electron, secured via AWS and Supabase. My capabilities extend to machine learning and predictive forecasting using Python, XGBoost, and Scikit-learn, alongside natural language processing tools like SpaCy and NLTK. Furthermore, I have leveraged these data engineering skills to design North Star-driven analytical modeling frameworks and executive Power BI dashboards that translate raw data into prescriptive operational alerts.
Beyond my technical stack, I excel as a bridge between domain stakeholders and development tribes. As a Business Analyst, I have successfully led requirements gathering, mapped complex business logic, and translated these into prioritized Agile epics to ensure every sprint delivers measurable ROI. I pride myself on being detail-oriented, resilient, and highly communicative, and I have honed these skills through presenting research at academic festivals. Additionally, I am an experienced product researcher, highly proficient in the Microsoft Office Suite with accurate typing speeds, and skilled in Canva for creating impactful visual materials and UI/UX alignments.
