Quick SummaryLeading a team of 7 professionals, divided into Machine Learning (ML), Business Analytics, and Data Engineering tracks. Apply ML and analytics to optimise TLW (特力屋) and HOLA's business operation and inform leadership's decision making.Machine LearningBuilding a series of data products: LLM-assisted Personalised Marketing Copy Generation, GCN-based Recommendation Engine, Search Engine, Predictive Models for Marketing, Customer Segmentation, etc.Business… Show more Quick SummaryLeading a team of 7 professionals, divided into Machine Learning (ML), Business Analytics, and Data Engineering tracks. Apply ML and analytics to optimise TLW (特力屋) and HOLA's business operation and inform leadership's decision making.Machine LearningBuilding a series of data products: LLM-assisted Personalised Marketing Copy Generation, GCN-based Recommendation Engine, Search Engine, Predictive Models for Marketing, Customer Segmentation, etc.Business AnalyticsDesign and delivered analytics projects that derive critical insights, directly delivered to Chief Operating Officer. Include but not limited to :- Hidden High-Value Customer Discovery- Revenue Softness Diagnosis Study- Revenue Forecast based on FB-Prophet Framework- Product Refresh Evaluation StudyMajor Achievement- Experiments showed Recommendation Engine boosted TLW (特力屋) website revenue by 12.1%- HOLA's customer re-segmentation lead to 5% revenue uplift through marketing campaigns- Successly provide timely caveats on looming revenue breakage Show less

Main ResponsibilityUsing both analytics and machine learning techniques to optimise iCBT's seller management practice. Projects include but not limited to:- Fraudulant Account Linkage Detection: identify Greater China's corporate entities which possess multiple eBay accounts in order to forestall fraudulant activities. Productised as machine learning solutions to support peer teams' analytcis effort- Relocated Account Detection: identify relocated Greater China sellers in… Show more Main ResponsibilityUsing both analytics and machine learning techniques to optimise iCBT's seller management practice. Projects include but not limited to:- Fraudulant Account Linkage Detection: identify Greater China's corporate entities which possess multiple eBay accounts in order to forestall fraudulant activities. Productised as machine learning solutions to support peer teams' analytcis effort- Relocated Account Detection: identify relocated Greater China sellers in worldwide eBay marketplace. In an attempt to minimise Bad Buyer Experience posibility. Show less

Main ResponsibilityFocusing on strategic and maketing analytics. Leading and managing analytics projects to drive insights for marketing operation. Coaching junior analysts for technical skill & business acumen, and supervising project implementation.Project include but not limited to:- COVID Net Impact Study to GMarket and Auction platforms- Sales-Bundle Recommednation for Travel Vertical- SMile Club Member Dynamics Analytics

Main ResponsibilityFocusing on marketing analytics. Responsible for analytics project implementation, including performing statistical analysis, developing machine learning predictive model, building dashboards with automated data update process, and creating internal software packages (eg. R package) for business analystsExpertiseProficient in statistics, supervised/ unsupervised machine learning techniques, R package & Shiny application development, and analytics project… Show more Main ResponsibilityFocusing on marketing analytics. Responsible for analytics project implementation, including performing statistical analysis, developing machine learning predictive model, building dashboards with automated data update process, and creating internal software packages (eg. R package) for business analystsExpertiseProficient in statistics, supervised/ unsupervised machine learning techniques, R package & Shiny application development, and analytics project management. Show less

- Conducted prove-of-concept (POC) projects for financial sector clients (data exploration and predictive modelling)- Designing BI dashboards for clients in order to monitor marketing campaign performance- Product demonstration for SAS Enterprise Miner, Visual Analytics/Statistics, and Enterprise Guide, etc.

- Mobile app user behavior study: generating insights from data to support product managers improving app functionality and user experience; using R and Google Analytics- Satisfaction driver analysis: discovering drivers of user satisfaction and developing predictive models to detect low quality survey data- Data format re-designing project: re-designing data format of mobile apps to improve behavior tracking capability; collaborating with Product Management, User Experience… Show more - Mobile app user behavior study: generating insights from data to support product managers improving app functionality and user experience; using R and Google Analytics- Satisfaction driver analysis: discovering drivers of user satisfaction and developing predictive models to detect low quality survey data- Data format re-designing project: re-designing data format of mobile apps to improve behavior tracking capability; collaborating with Product Management, User Experience, and R&D teams Show less

- Major performed tasks: questionnaire design, data analysis, report writing, and project management- Major experience of market research methodology: Consumer attitude & usage study, TV commercial assessment, General market understanding, Concept testing, Packaging testing