Achievements • Joined as an early employee in a Fintech project; created the business plan and pitch deck for an AI-driven finance SaaS solution, which secured $1M HKD in early-stage funding, and expanded the team from 5 to 15 members• Authored 1 patent in financial information prediction methods and systems and drove it from concept to execution• Won 2 national innovation awards during 2 Hackathons in 2023, securing funding and boosting project visibilityResponsibilities• Designed go-to-market strategies, built business models, pricing models, and financial forecasts for 2-5 years• Led a team of 10 engineers and designers to develop an AI stock market prediction platform, integrating 3 AI products that deliver ML/AI driven investment support for asset management firms and individual investors• Interviewed customers and studied market trends to understand their needs, converting them into actionable, engineering-facing user stories; prioritized requirements and created MRD/PRD• Utilized Agile methodology to create MVPs and APIs for a stock market prediction product leveraging ML quantitative algorithms, as well as a financial Q&A chatbot powered by Generative AI• Drove the roadmap and set milestones to guide dynamic marketing and customer acquisition decisions; established data-driven KPIs to leverage user data for workflow optimization• Identified gaps and growth opportunities in AI and Fintech products through analysis of consumer behavior, market trends, alternative solutions, and competitive strategies

• Identified €11M from the Procurement Purchase to Pay (P2P) data in execution capacity and process inefficiency utilizing Action Engine, Machine Learning Workbench, Process Automation, and Studio. Extracted, transformed and loaded 1.6M+ CSV datasets utilizing Alteryx. Executed Celonis process mining software to drive significant outcomes• Tailored and designed process and customer-specific dashboards, analyses, and reports. Presented value realization (VR) and implementation results to senior-level executives and IBM customer team

• Led an initiative for a warehouse optimization project that reduced inventory costs by $1M through data analysis and cross-functional collaboration• Developed supply chain KPIs and data-driven monitoring platforms to manage over $3M in inventory and 3,000 SKUs across four sales departments using ERP and WMS systems, improving sales forecast accuracy to 98% and optimizing inventory levels• Collaborated with commercial and supply teams to conduct market research and customer interviews, integrating feedback to prioritize supply chain requirement and ensure effective implementation of commercial strategies• Trained 20+ cross-department managers and staff on IKEA’s supply chain management system, improving communication efficiency across departments by 30%