Francis Ng

Data science and analytics professional with over 8 years of experience transforming complex datasets into actionable business insights. Skilled in machine learning, predictive modeling, A/B testing, and workflow automation. Passionate about applying data science to solve real-world business challenges.

American Express, Sept 2022 to Present

Manager, Analytics & Data Ops

• Developed and implemented machine learning models (e.g., K-Means for segmentation, Random Forest for attrition) to drive targeted marketing campaigns, resulting in increased spending and improved customer retention.
• Optimize machine learning model accuracy and stability through techniques such as feature selection, cross-validation, and hyperparameter tuning.
• Conduct A/B tests on campaign variants and effectiveness, and provide insights and recommendations to stakeholders through visual reports using Excel charts and Python.
• Build fully automated data pipelines using Python, SQL, and scheduled Cron jobs, reducing manual workload by 25% and increasing team productivity. 
• Collaborate with cross-functional teams (Data Science, Marketing, Operations, Finance) on different projects to identify process gaps and deliver analytics solutions to improve operational efficiency.
• Design and maintain dashboards to monitor key metrics for the management team. 
• Extract and synthesize complex data to support business objectives and ensure timely fulfillment of MIS data requests within SLAs. 
• Facilitate weekly team syncs to align priorities, share analytics wins, and foster a collaborative, continuous-learning culture with peer recognition.

Nikko Asset Management, Oct 2018 to Sep 2022

AVP, Performance & Data Analyst

• Co-led the development of new data processing engines and databases, significantly improving processing speed and efficiency, resulting in annual savings of approximately S$50K.
• Designed and automated ETL workflows using MS SQL, MS Access, and Excel VBA, streamlining data ingestion and transformation from multiple sources. 
• Replaced manual reporting processes with SQL and VBA-based automation, reducing errors and turnaround time, and increasing productivity by approximately 80%. 
• Built and maintained investment performance databases, ensuring data accuracy through robust validation checks and early error detection templates.
• Generated and reconciled investment performance reports using top-down and bottom-up methodologies across multi-asset portfolios.
• Delivered timely and accurate performance reporting, supporting portfolio measurement and stakeholder decision-making.

Associate Consultant

• Cleaned, integrated, and stored large datasets from diverse sources to identify trends and generate actionable insights.
• Developed interactive dashboards focused on key performance metrics, enabling data-driven decisions and strategic planning by management.
• Collaborated with global stakeholders to gather requirements, design analytical solutions, and automate manual processes, improving overall operational efficiency.

• Master of Science in Data Science and Artificial Intelligence (Distinction)
  • University of London, 2023
• Degree in Double Majors in Banking & Finance (Distinction) 
  • Murdoch University, 2015