ALEX KUAN

• Managed $50M+ annual cloud consumption of Amazon Web Services (AWS) and Microsoft Azure, including annual budget planning and multi-year strategic forecast. • Increased cloud adoption rate by launching a FinOps cloud adoption program, which included periodic cloud adoption surveys, executive-level and application-level KPI tracking dashboards, and monthly leadership cloud performance reviews. • Achieved $19M annual cost saving by implementing FinOps best practices across multiple services, and drove cost saving program across business units across the globe. • Transformed cloud billing model from showback to chargeback and redesigned/automated cost allocation methodology for monthly accounting accrual and financial entry, reducing the process from 3 days to 3 hours. • Led implementations of cloud optimization tool (Turbonomic) and monitoring tool (Cloudability), establishing them as the sources of truth for cloud consumption. • Created real-time unit economic dashboards to track resource usage efficiency and support anomaly detection

- AWS and GCP cost optimization and planning (FinOps). - Dashboarding and Reporting - Statistical analysis and machine learning modeling - Process improvement and implementation

- AWS Reserved Instance management - Dashboarding and Business Reporting - Machine learning modeling

Collaborated with data and marketing teams to execute a customer data modeling project on behalf of a holding company with 25 kindergarten and elementary schools. Provided technical expertise in cluster models, system implementation, and data management. Tracked project progress and communicated with stakeholders to align goals. • Increased advertisement response rate 35% by restructuring customer data from 25 schools, building a machine learning cluster model to send direct emails to customers who match the cluster data. • Achieved 0% error rate by developing an SOP for data entry and cluster model implementation and by coaching 25 team members on basic data management procedures. • Achieved 0 project delays during tenure through excellent project scheduling and information transparency

Analyzed SEO reports and recommended changes to enhance digital marketing strategies. Reviewed social media efficiency and market strategy data obtained from case managers (more than 1M raw customer data). Researched customer behavior and P&L. • Analyzed customer behavior and P&L on the proposed “one day home” program and developed a go-to-market strategy based on results; new plan reduced projected program costs by 9%. • Created a brand awareness and market expansion plan to increase patient referrals through the 5Cs, SWOT, and short-term changes; presented strategy to board members during annual conference.

Supervised teams as large as 10 people to generate and launch innovative web-based products. Developed product platforms, established product supply chain strategies, and prepared service delivery methods. Created data models using logistic regression to identify the driving factors behind customer behavior. Managed the performance and quality of outsourced product manufacture and offshore product development to help drive KPI. Liaised between IT, operation, and marketing teams to align project benchmarks. • Increased purchase rate 21% by using logistic regression to identify 5 attributes affecting customers’ decision not to purchase product after trial period ended, and applied results to optimize marketing strategy. • Reduced total costs 11.4% and service recovery costs 55% by reconfiguring the supply chain strategy, including inventory/warehouse planning and product distribution methods, reducing average time to delivery by 2 days. • Won award for “most efficient team” and achieved 93% customer retention rate.

Analyzed customer data from CRM system to predict customer behavior and identify gaps in retail marketing tactics. Created customer cluster and update market forecasts to help reach target KPIs. Reported findings from data and communicated values with key stakeholders. Developed strategic relationships with community partners to generate new opportunities for growth. Performed big data cleansing, including data feature selection and model building. • Increased market targeting efficiency by 35% through the analyze of customer data using cluster modeling techniques. • Generated $34,500 in profit from a single program, within just 6 months of beginning the program, by forecasting demand and establishing a profitable partnership with a local government agency.

Utilized software requirement analysis techniques to enhance software development process (SCRUM Process). Oversaw team responsible for developing CRM and ERP programs. • Reduced software development period 20% by translating a customer’s business requirement into software requirement analysis, improving the software development team’s ability to deliver customer objectives. • Completed each project with no delay.