Hi, I'm Martha Wu, a data scientist and analytics professional with 8+ years of experience applying data-driven methods to solve complex business problems across finance, risk, and digital domains. I enjoy turning data into actionable insights through predictive modelling, large-scale data analysis, and data storytelling, with a strong background in Python, SQL, Power BI, and applied machine learning. I thrive on independent, client-focused projects in remote settings. In my recent roles, I have built data governance programs, automated data validation, and fraud analytics that drive measurable improvements. I’ve reduced fraud incidents by approximately 60% through predictive rules and risk models, integrated external datasets for analytics and compliance reporting, and created dashboards to monitor data quality KPIs. I enjoy collaborating with cross-functional teams to translate business needs into analytics actions.

Martha Wu

Hi, I'm Martha Wu, a data scientist and analytics professional with 8+ years of experience applying data-driven methods to solve complex business problems across finance, risk, and digital domains. I enjoy turning data into actionable insights through predictive modelling, large-scale data analysis, and data storytelling, with a strong background in Python, SQL, Power BI, and applied machine learning. I thrive on independent, client-focused projects in remote settings. In my recent roles, I have built data governance programs, automated data validation, and fraud analytics that drive measurable improvements. I’ve reduced fraud incidents by approximately 60% through predictive rules and risk models, integrated external datasets for analytics and compliance reporting, and created dashboards to monitor data quality KPIs. I enjoy collaborating with cross-functional teams to translate business needs into analytics actions.

Available to hire

Hi, I’m Martha Wu, a data scientist and analytics professional with 8+ years of experience applying data-driven methods to solve complex business problems across finance, risk, and digital domains. I enjoy turning data into actionable insights through predictive modelling, large-scale data analysis, and data storytelling, with a strong background in Python, SQL, Power BI, and applied machine learning. I thrive on independent, client-focused projects in remote settings.

In my recent roles, I have built data governance programs, automated data validation, and fraud analytics that drive measurable improvements. I’ve reduced fraud incidents by approximately 60% through predictive rules and risk models, integrated external datasets for analytics and compliance reporting, and created dashboards to monitor data quality KPIs. I enjoy collaborating with cross-functional teams to translate business needs into analytics actions.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate

Work Experience

Digital Marketing Specialist at Spicy Maggie
August 1, 2025 - Present
Developed and executed digital marketing strategies to expand brand presence and customer engagement. Produced marketing reports and performance analysis to support business decision-making. Strengthened data storytelling skills relevant to fraud and trend analysis.
Data Quality & Governance Specialist at Ford Automotive Finance (China) Ltd
March 1, 2022 - July 1, 2023
Implemented data governance and quality frameworks to improve reliability of analytics and reporting. Developed automated data validation workflows to enhance accuracy and efficiency of analytical outputs. Integrated external and third-party datasets to support advanced analytics and compliance reporting. Created dashboards monitoring data quality KPIs to support strategic decision-making.
Anti-Fraud Specialist at Ford Automotive Finance (China) Ltd
May 1, 2019 - February 1, 2022
Analysed large transactional datasets to identify fraud patterns and emerging risks using Python, SQL, and statistical techniques. Designed and optimised predictive rules and risk models, reducing fraud incidents by approximately 60%. Collaborated with cross-functional teams to define data requirements and align analytics with business objectives. Produced executive-level reports and dashboards highlighting key insights and trends.
Credit Operations Manager & Analyst at Ford Automotive Finance (China) Ltd
January 1, 2016 - May 1, 2019
Performed behavioural and transactional analysis to assess credit risk and portfolio performance. Developed analytical tools and reports to support risk management and product optimisation. Contributed to the launch of a new credit product, improving approval rates by 18% and customer satisfaction by 15%.
Senior Credit Analyst at Industrial Bank of China
July 1, 2005 - January 1, 2016
Assessed credit card and personal loan applications, identifying and mitigating fraudulent activity. Proposed and implemented automation solutions to streamline credit review and risk monitoring processes.
Supplier Service Type Classification (Machine Learning Project) at ERA Group
November 1, 2024 - February 1, 2025
Developed and trained a supervised NLP-based machine learning model to predict supplier subcategories from company names. Built a user-friendly Streamlit application enabling non-technical users to perform model prediction and retraining. Enabled users to upload datasets, retrain custom models, and export prediction results to support financial reporting and spend analysis.
Business Analyst Intern at The Walker Signature Collection
November 1, 2024 - February 1, 2025
Analysed Shopify sales data to optimize sales strategies. Created reports in Tableau and Power BI to support data-driven retail decisions.

Education

Master of Applied Data Science at University of Canterbury
February 1, 2024 - February 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services, Media & Entertainment, Education