End-to-end conceptualization and development of a data visualization tool for personal investors, run on Vercel.

• Product Discovery: Conducted market research to identify user pain points regarding fragmented financial data; defined a Product Roadmap focused on "Single-Pane-of-Glass" visualization.
• Technical Execution: Architected and deployed a functional MVP using AI-assisted development (Claude/Next.js). Integrated SQL queries to structure and visualize real-time transaction data.
• Outcome: Delivered a working prototype demonstrating technical feasibility and data processing capabilities, serving as a foundation for scalable fintech applications.

Requirement analysis for a complex B2B platform unifying inventory, sales, and customer data.

• System Design: Elicited requirements for a multi-tenant architecture, defining logic for real-time inventory synchronization across online and offline channels.
• Documentation: Authored comprehensive User Stories with Gherkin-syntax Acceptance Criteria; created detailed BPMN diagrams to map the "Order-to-Cash" lifecycle.
• UX Prototyping: Designed low-fidelity wireframes in Figma to validate user journeys and feature feasibility with stakeholders prior to development.

Led a market entry strategy for a Vietnamese franchise targeting the highly regulated Singaporean market.

• Competitive Intelligence: Performed a robust SWOT & Gap Analysis against 5 major local competitors, identifying a specific market niche ("Premium Affordable") with a projected 15% margin advantage.
• Financial Modeling: Constructed a dynamic 3-Year P&L Forecast and Sensitivity Analysis model to calculate break-even points under varying inflation and cost scenarios.
• Risk Assessment: Analyzed Singaporean regulatory requirements to ensure proposed operational workflows complied with local labor and tax laws.

Managed operational workflows and stakeholder requirements for high-volume recruitment projects.

• Requirement Analysis: Partnered with Department Heads to define strict "Hiring Acceptance Criteria," ensuring candidate quality aligned with strategic business goals.
• Process Optimization: Mapped the end-to-end recruitment lifecycle; identified bottlenecks in the screening phase and implemented standardized scoring templates, improving throughput by 15%.
• Compliance & Data: Managed sensitive candidate data (PII) in strict compliance with privacy regulations; utilized data reporting to track "Time-to-Hire" and "Conversion Rate" KPIs for management review.