Phyllis Tay Email & Phone Number

Singapore

Singapore

Singapore

• Ran impact analysis of Covid-19 on visitorship, borrowers, loans, and programmes
• Achieved project goals for the data cleaning project team, which includes building data dictionaries, tracking data anomalies, and developing scripts to clean data
• Supervised data analytics intern and trainee – able to vet slides and technical scripts
• Performed customer segmentation and cohort analysis to better understand library members, resulting in more targeted marketing
• Ensured optimized collection, via conducting zero-loans analysis and formulating print-digital strategy

• Identified common genres that were loaned together using market basket analysis, for better book placement and item recommendation
• Created maps to identify underserved areas for outreach / to set up library services
• Built team capabilities in Tableau visualisation and geospatial analysis
• Developed and maintained dashboards for reporting of key indicators to senior management, as well as for end users to perform self-service
• Initiated the setup of a joint team to redesign data models and ensure quality of data
• Co-presented a paper on ‘Tracking Library Performance Indicators Through Self-Service Data Visualization Dashboards’ at the OCLC APRC Library Futures Conference

Singapore

• Assisted in building CBA models, data collection and desktop research
• Performed analysis and created visuals using Tableau, PowerBI and R

• Conducted Tableau training and inter-agency briefings on portal governance
• Created Tableau dashboards to track engagement progress, and to visualise data from Singstat Table Builder database
• Developed instructional guides, visualisation best practices, and infographics
• Mentored 3 interns in visualisation best practices and building of dashboard templates

Singapore

• Created map layers for URA’s geospatial analytics portal using ArcGIS
• Performed statistical and data mining techniques such as hypothesis testing and k-means clustering in R
• Conducted ground sensing study through text mining of unstructured feedback data
• Managed project with PhD researchers to develop a local agent-based transport simulation model
• Designed first-cut supervised learning algorithm for geospatial population projection

Master'S Degree, Statistics

Bachelor Of Science (Hons) In Mathematical Sciences, Major In Statistics, 2Nd Class Upper

Education record

Exchange student under GEM (Global Education & Mobility) Explorer Exchange Programme