Presentation
With 14+ years of experience across Retail, FMCG, Banking, Insurance, Government and Consumer Insights, I can support both one-time analytics projects and ongoing reporting requirements.
My services include:
• Data Analysis & Insights – Analyse business, customer, survey, retail and operational data to identify trends, patterns and actionable insights.
• Dashboard Development – Build and enhance interactive dashboards and reports using Tableau and Power BI, including KPI tracking, trend analysis and year-on-year comparisons.
• Data Cleaning & Transformation – Clean, validate, restructure and prepare complex datasets using Python, R, SQL, Excel and SPSS.
• Data Engineering & Automation – Develop ETL/ELT workflows, automated data-processing pipelines and reporting solutions to reduce repetitive manual work.
• Survey & Market Research Analytics – Process survey data, perform statistical analysis, weighting, segmentation and reporting, and prepare datasets for research and management reporting.
• Business & Data Requirements – Work with stakeholders to understand business requirements and translate them into reporting, analytics and data solutions.
• Data Quality & Validation – Develop validation checks and quality-control processes to improve data accuracy, consistency and reliability.
I focus on delivering accurate, practical and easy-to-understand solutions that help clients save time, improve reporting processes and make better decisions from their data.
Background
teams and external technology vendors, coordinating priorities, delivery timelines,
quality standards and production readiness.
• Designed scalable ETL/ELT and analytics workflows using SQL, Python, R and SPSS to
process large and complex operational and research datasets.
• Partnered with business stakeholders to understand business challenges, identify
analytics requirements and translate them into practical data and technical solutions.
• Established data-quality controls, validation rules and governance processes to improve
accuracy, consistency, traceability and reliability of analytics datasets.
• Developed reusable automation frameworks that reduced manual processing effort by
approximately 60–70% and improved delivery turnaround from weeks to days.
• Coordinated with internal technical teams, business stakeholders and external
technology/data vendors throughout solution delivery.
• Led validation and UAT activities, investigated data-quality and production issues and
coordinated corrective actions across upstream and downstream teams.
• Developed analytics and reporting solutions supporting organisations including
Singapore Tourism Board, Sentosa, Changi Airport Group, MOM and NEA.
• Evaluated opportunities to improve analytics workflows through automation and
emerging AI capabilities while maintaining appropriate data-quality and governance
controls.
data sources.
• Developed ETL processes for ingestion, transformation and validation of large datasets.
• Created Tableau dashboards supporting category analytics, pricing analytics and
market performance reporting.
• Implemented data validation frameworks improving data quality by 30–40%.
• Built analytics datasets supporting retailer and manufacturer decision making.
• Performed data extraction, transformation and reporting automation.
• Reduced manual reporting effort by approximately 30%.
• Supported learning management systems and operational reporting initiatives.
• Improved operational efficiency through reporting automation.
• Built ETL processes and supported data quality initiatives.

