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Data analyst and data scientist focused on fraud analytics, machine learning, and scalable data pipelines. I build detection rules, attrition/prediction models, and dashboards that help teams make faster, safer decisions. I also automate workflows end-to-end using Python and low-code tools, bridging technical and non-technical stakeholders to deliver production-ready analytics and security outcomes.…Data analyst and data scientist focused on fraud analytics, machine learning, and scalable data pipelines. I build detection rules, attrition/prediction models, and dashboards that help teams make faster, safer decisions. I also automate workflows end-to-end using Python and low-code tools, bridging technical and non-technical stakeholders to deliver production-ready analytics and security outcomes.

Justin Lim

Data Scientist, Data Engineer, Web Developer, +2

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Data analyst and data scientist focused on fraud analytics, machine learning, and scalable data pipelines. I build detection rules, attrition/prediction models, and dashboards that help teams make faster, safer decisions. I also automate workflows end-to-end using Python and low-code tools, bridging technical and non-technical stakeholders to deliver production-ready analytics and security outcomes.…Data analyst and data scientist focused on fraud analytics, machine learning, and scalable data pipelines. I build detection rules, attrition/prediction models, and dashboards that help teams make faster, safer decisions. I also automate workflows end-to-end using Python and low-code tools, bridging technical and non-technical stakeholders to deliver production-ready analytics and security outcomes.

Available to hire

Data analyst and data scientist focused on fraud analytics, machine learning, and scalable data pipelines. I build detection rules, attrition/prediction models, and dashboards that help teams make faster, safer decisions.

I also automate workflows end-to-end using Python and low-code tools, bridging technical and non-technical stakeholders to deliver production-ready analytics and security outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Work Experience

Data Scientist – Fraud Analytics at Mastercard

April 1, 2026 - October 1, 2026

Investigated account-takeover (ATO) attacks by designing, testing, deploying, and monitoring fraud detection rules across Dev, QA, and Production environments. Used AWS RedShift and Athena for analytics, and Splunk plus Python for investigation and operational monitoring. Collaborated with clients to drive security outcomes and strengthen cybersecurity posture. Documented change requests and analysis findings, and delivered monthly cybersecurity reporting. Participated in PagerDuty on-call rotations and incident response.

Data Analyst at X-Inc Pte Ltd

November 1, 2021 - April 1, 2026

Built a machine learning model for customer-SKU churn prediction (regression). Developed an AI agentic web application for automated product recommendations, reducing human effort from about two weeks to roughly one hour. Built and maintained data pipelines supporting machine learning and analytics, including Power BI Service integration. Designed dashboards and delivered KPI reporting to internal and external stakeholders. Implemented integrations for the AI web application (e.g., Shopify). Created automations using Python, Power Automate, and n8n to streamline reporting and workflows. Led ERP-related technical delivery activities as a bridge between technical and non-technical stakeholders for Microsoft Dynamics 365 development and onboarding of new tech solutions/partnerships.