I am a driven Information Systems student specializing in Business Analytics with a proven track record of leading technical teams as a Project Manager and Lead Developer. I am adept at utilizing Agile sprint methodologies to orchestrate the rapid, end-to-end development of multiple enterprise-grade systems, balancing technical execution with business milestones. By combining a strong analytical mindset with technical 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 full-stack application development, engineering comprehensive ETL pipelines, and structural database management using Next.js, React, NestJS, TypeScript, Node.js, MongoDB, and PostgreSQL (Supabase). My capabilities extend to advanced business intelligence and predictive modeling, specifically utilizing Prophet and SARIMAX for context-aware time-series forecasting, alongside the FP-Growth algorithm for market basket discovery and product bundling. Furthermore, I have engineered natural language processing tools using VADER and LDA Topic Modeling to translate unstructured customer sentiment text into predictive inventory indicators and prescriptive operational triggers.
Beyond my technical stack, I excel as a bridge between domain stakeholders and development teams. As a Project Manager and Business Analyst, I have successfully led requirements gathering, facilitated agile sprint planning, and translated complex business needs into prioritized technical specifications to ensure system deployments maximize operational value. I pride myself on being detail-oriented, analytical, and highly communicative. Backed by consistent academic excellence as a multi-semester Dean’s Lister, I am ready to leverage my unique blend of software engineering and data analytics to optimize workflows and solve complex business problems.
