Patricia Cyril

▪ Contribute to shaping the enterprise data strategy and roadmap, focusing on the migration from the legacy Big Data platform to a modern, scalable Enterprise Data Platform (EDP). ▪ Contribute to the design of scalable, future-ready data solutions that enable both business and AI-driven initiatives such as RM Cockpit, Group Wholesale Datamart, and advanced analytics. ▪ Involve in RFP evaluations and POCs for strategic initiatives, helping to ensure business alignment, cost effectiveness, and compliance. ▪ Collaborate with stakeholders to translate business needs into practical and future-ready data solution designs. ▪ Expand the CV360 beyond Retail Banking to include Business Banking and SME segments, delivering a unified, enterprise-wide customer view that drives decision-making, insights, and increase revenue.

▪ Led a team of 18 engineers, delivering 300+ enhancements and ad-hoc requests annually, accelerating analytics, campaign, and modeling initiatives. ▪ Worked closely with vendors and internal Group Technology team on the Big Data and SAS platform upgrades, Disaster Recovery setup and replication, ODI tool upgrades, and cluster expansion. ▪ Involved in the Cloud Data Science Workbench project, migrating data science capabilities from on-premise to cloud by designing data pipelines and a comprehensive data management plan to ensure scalability, governance, and secure access. ▪ Engineered ETL/ELT pipelines for 10+ critical data sources, enabling timely, accurate, and actionable for campaigns, analytics, and modeling. ▪ Collaborated with multiple business units to deliver key initiatives including Risk ML feature engineering, AML remediation, Customer Outreach programs, RPA document automation, Moratorium & RnR Automation, and the Petronas analytics dashboard, driving efficiency through automated pipelines. ▪ Designed and implemented a Data Repository Framework to control PII vs. non-PII access based on user roles, strengthening governance and compliance. ▪ Managed Big Data ITO chargebacks across group and regional entities (PH, VN, TH), ensuring accurate cost allocation, accountability, and optimized resource utilization.

▪ Led and mentored a team of 4 SAS data engineers, streamlining daily operations and automating analytics processes. ▪ Enhanced CV360 to include a centralized mart for customer contact preferences, improving marketing reach and campaign success rates. ▪ Built a Customer Reward Eligibility Engine (e.g., Plaza Premium Lounge Access, MAS Golden Lounge Access, CAW Bonus Reward), consolidating data sources and applying business rules for automated customer eligibility. Delivered full integration across ingestion, transformation, rule application, and reporting. ▪ Appointed as a Data Champion, guiding teams in data usage, best practices, and solution translation, improving delivery quality and business impact.

▪ Enhanced the CV360 to include customer demographic, product holdings, and channel data to enable segmentation, persona building, and advanced analytics for Retail Banking. ▪ Served as Data Steward for Consumer Banking, ensuring governance, quality, and regulatory compliance. ▪ Led customer data cleansing activities, including profiling, sizing, and outreach campaigns with Marketing and CX teams to improve accuracy and completeness.

▪ Automated marketing triggers using SAS, improving campaign efficiency and consistency. ▪ Designed and implemented a Python-based daily deposit dashboard report with automated email delivery, saving time and improving accuracy for management. ▪ Enhanced the CV360 to include product holdings and AUMCUM, consolidating multiple product sources into a single customer-level view. ▪ Contributed to Core Banking migration by assessing downstream impacts, re-engineering impacted jobs, and ensuring continuity in analytics and campaigns.

▪ Maintained and supported daily BAU operations, monitoring and troubleshooting ETL batch jobs to ensure uninterrupted delivery. ▪ Investigated and resolved data quality issues with the Data Governance team, ensuring compliance and consistency. ▪ Worked with vendors and stakeholders to build the foundational Customer View 360 platform for Retail Customers, enabling analytics and campaign initiatives.

▪ Set up and optimized Greenplum databases on AWS, improving query performance and scalability for large advertising datasets. ▪ Developed Python scripts to automate data ingestion, cleansing, and preprocessing, reducing manual effort and accelerating report turnaround time. ▪ Designed and implemented a Python-based advertisement click fraud detection engine with a runtime of under 5 minutes, running on an hourly schedule.