I work in the intersection of BUILDING, ANALYZING AND DESIGNING. A Computer Science × Business Analytics student with a builder’s mindset—always learning, creating, and refining.
I bring together research, prototyping, and analytics to ship work that’s useful and clear.
Selected work blending design, analytics, and storytelling.
Reimagined how beginners learn programming through a tap-based coding IDE. Defined the MVP roadmap, led 150+ usability tests, and improved task success rates by 40%. Delivered two working prototypes demonstrating how touch gestures can replace drag-and-drop learning tools.
Built a Random Forest–powered dashboard to flag suspicious coding submissions across 5,000+ logs. Improved detection accuracy by 27%, enabling faculty to identify integrity risks faster. Designed Power BI visualizations that made real-time monitoring intuitive for non-technical users.
Defined metrics for a clinician-facing AI voice agent projected to reduce documentation workload by 60%. Built KPI dashboards tracking adoption and model performance to guide iteration cycles. Partnered with engineering and design teams to drive rollout and success measurement across clinical workflows.
Created a pricing and ROI model that optimized POS deployments for 30+ SMB clients. Built Salesforce dashboards and reduced onboarding time by 25%, accelerating pipeline conversion. Supported leadership decisions with quantitative payback models and competitive insights.
Lead a team of 10+ student researchers. Built a plagiarism detector thats actively being used by faculty.
Analyzed clinician-facing AI pilot adoption and efficiency, built KPI dashboards and delivered insights to optimize model performance and user adoption.
POS ROI modeling, pipeline reports, and sales enablement for SMB retailers.
Developed Power BI dashboard to track 10+ financial KPIs reducing reporting time by 24%.