Suzy Tang

FX Prompt Project Lead:

- Led the FX Prompt project at HSBC, which built an AI-driven system to provide foreign exchange recommendations based on users' past behavior, offering preferential exchange rates with 99% accuracy.

- Spearheaded process improvements and new feature delivery, driving product revenue increase in the FX product from $x to around $y

- 30% increase in transaction volume within the first quarter post-implementation.

- Main responsibilities include drafting project plans, resource allocation, dependency and risk management. Always on time and within budget.

- Worked closely with sales, engineering, and operations teams to resolve system integration challenges, ensuring project outcomes aligned with business objectives and client needs.

- Monitored key performance indicators (KPIs) such as transaction volume, revenue growth rate, and customer satisfaction.

• Developed an internal NLP product at Huawei enabling real-time translation of dozens of minor languages, integrated with proprietary terminology, and capable of generating meeting minutes from conversational input.
• Conducted in-depth user interviews and data analysis to identify key requirements, delivering 4 core functional modules, resulting in a 25% improvement in user satisfaction of more 500+ employees
• Regularly analyzed user usage data to refine the product’s NLP algorithms, resulting in a 15% improvement in text processing accuracy and a 25% reduction in response time, significantly enhancing the internal user experience
• Successfully integrated the NLP product into 5+ core internal systems, processing over 1 million text-based tasks, and substantially enhancing the automation and intelligence of internal operations

• Analyzed large datasets to monitor supply chain performance and sales trends, providing insights that led to a 12% improvement in inventory turnover
• Identified inefficiencies in distribution channels through data-driven analysis, proposing adjustments that boosted delivery accuracy by 15%
• Supported business units in achieving a 20% increase in on-time delivery rates by providing precise, actionable insights through advanced data analytics