Henry Kuo Email & Phone Number

Seattle, Wa, Us

• Reduced Month-End Close (MEC) lead time by 35% by developing an insights dashboard featuring performance metrics and granular data for in-depth analysis.• Enhanced financial forecasting accuracy by 15% by leading annual budgeting and daily/weekly/monthly forecasting processes, directly supporting strategic financial planning across multiple business segments.• Presented complex data insights in a clear, actionable format by collaborating with sales operations and account managers, effectively bridging customer insights to drive informed decision-making.• Improved executive response time by 50% for ad hoc C-level requests by creating a visualization dashboard with self-service, real-time views, enabling faster strategic decisions that positively impacted revenue forecasting.• Increased operational efficiency by 20% by establishing control frameworks and policies over contra-revenue components, including pricing discounts and incentives, to improve profitability tracking and pricing strategy.

Chicago, Illinois, Us

• Reduced fraud risk by 30% by designing a statistical model and implementing fraud prevention rules, utilizing real-time data to identify high-risk behaviors, resulting in significant cost savings on fraudulent transactions.• Increased customer retention by 15% by collaborating with product, marketing, and customer service teams to enhance fraud detection processes, reducing false positives and improving customer satisfaction.• Automated financial reporting processes by 35%, reducing manual reporting efforts and ensuring timely, accurate reports, which enabled faster decision-making and streamlined finance workflows.• Developed a weekly fraud report that included trends, fraudulent factors, and actionable insights.

Riverwoods, Il, Us

• Lowered credit card delinquency risk by 15% by creating a predictive financial model focused on high-risk cardmember journeys, directly supporting risk mitigation and improving credit strategy outcomes.• Reduced revenue loss by 10% by collaborating with card acquisition, product, fraud, and data science teams to analyze the journey of high-risk customers and develop business strategies to mitigate financial impact.• Increased contact strategy effectiveness by 20% by implementing an omni-channel communication strategy, integrating email, phone, text, and mail to enhance customer engagement and improve debt recovery.• Improved forecast accuracy by 10% by working with data modeling teams to create a daily health check system, enabling more accurate financial projections and better resource allocation.

Chicago, Il, Us

• Boosted marketing performance by 10% by analyzing channel response rates and optimizing lead sources, which improved the cost-effectiveness of marketing campaigns and contributed to higher ROI.• Increased regional sales revenue by 15% by developing data-backed regional pricing strategies, supported by A/B testing, leading to a more targeted and effective pricing model.• Reduced lead times for serviced regions by 20% by creating a forecasting model that integrated demand, sales, geography, and economic trends, enhancing service delivery and customer satisfaction.

Redmond, Washington, Us

• Reduced product development time by 30% by establishing the first Global Mobile Device R&D Lab, facilitating faster testing cycles and improving time-to-market for new products.• Achieved a 20% reduction in debugging efficiency by re-engineering product testing processes based on past product issue analysis, contributing to significant cost savings in product maintenance.• Trained and mentored a team of 4 interns on product troubleshooting and testing tool enhancement, fostering skills development and improving team productivity.

Master Of Business Administration (Mba)

Master Of Science, Electrical Engineering

Bachelor Of Science (B.S.), Computer Science