I led the design and rollout of a large-scale user preference survey using tools like R, Shiny, and SurveyDown. We gathered insights from over 1,000 users, which gave us a solid foundation to understand what features truly matter to them. I handled everything from survey setup to advanced data cleaning and sensitivity analysis to ensure the results were both accurate and actionable. Using techniques like Mixed Logit and Conjoint Analysis, I was able to uncover how much users were willing to pay for improvements in features like battery life, security, and overall performance. I brought the findings to life with interactive dashboards in Power BI, making it easy for both technical and non-technical teams to align around feature priorities.
GW New Venture Competition (NVC), Semi-finalist 2024
Presented a "WindPower" B2B startup plan to extend EV range, to secure concept buy-in by identifying product gaps and crafting an executive summary. Developed a business model, go-to-market strategies, and customer persona, while creating a Value Proposition Canvas to articulate benefits to investors. Outlined a roadmap, providing a clear view of the product's development milestones
1. Business Summary.
Utilizing the capabilities of MBSE Capella software, I orchestrated the architecture of a real-time tracking system. This encompassed the creation of comprehensive operational, functional, logical, and physical architecture, intricately depicted through diagrams like OEBD, OCB, OAB, CSA, MCB, SAB, LCBD, LAB, and PAB. Concurrently, I elucidated architecture requirements, ensuring a systematic and efficient framework.
Utilizing SysML, delving deeper into the subsystem of a real-time tracking system involves employing Catia SysML Package Diagram [pkg], Domain diagram [bdd], and System Requirements (REQ) Diagram. The process includes the creation of a BDD Domain Diagram, Requirements Diagram, External IBD (Context Diagram), System Level Breakdown BDD, Data Type Definition/Interface Diagram, System Internal IBD (Context Diagram), STM, and UC diagram.
Project Buy-in
We dedicated our efforts to Project BUY-IN, undertaking a research project to comprehend its significance. This involved developing :
As a Product Owner from May 2016 to July 2020, I improved operational efficiency by 50% through the development of a manpower management system, reduced project delays by 25% with new product metrics dashboards, and enhanced customer satisfaction by 45% by standardizing training procedures.
Later, as a Product Manager at Savax Credit Solutions until July 2023, I led the launch of a payment recovery system for major South Korean companies, cutting payment times from 150 to under 90 days and boosting transaction transparency. I managed a team of over 15, driving platform improvements and achieving an 80% customer satisfaction rate, while also reducing dispute resolution times by 40% and increasing payment recovery rates by 60%.
Comparative Analysis
