Bill Tai

– Lead end-to-end data science projects applying predictive modelling, clustering, and machine learning to optimize marketing and sales strategies. – Collaborate with senior stakeholders to translate business challenges into actionable analytical solutions. – Automate data workflows and partner with vendors to scale machine learning deployment across the business. – Communicate analytical findings to non-technical audiences, driving adoption of data-driven initiatives. – Built predictive models (Logistic Regression, CHAID) identifying high-value new customers with 70% accuracy (vs. 20% baseline). – Designed segmentation models uncovering customer clusters contributing ~90% of next quarter's revenue. – Delivered a personalized product recommendation engine using the FP-Growth algorithm, deployed on the company website. – Developed lookalike and churn prediction models, enabling proactive customer acquisition and retention. – Created a lead scoring framework that increased sales conversion rates. – Enhanced customer profiling accuracy through data enrichment models for missing industry attributes.

– Analyzed tourism trends, market outlook, and visitor behavior to support strategic marketing decisions. – Delivered actionable insights that informed regional marketing campaigns and strategic planning.

– Technical Presales and software demonstrations

– Generated CRM and campaign performance reports for global loyalty programs. – Supported a major system migration project and provided analytical insights for a Japanese hotel alliance loyalty program.

– Conducted campaign segmentation and regression analyses to optimize targeting and ROI. – Automated campaign workflows, improving efficiency and reducing manual processing time.