Nur Hapinder Binti Abdullah

• Performing data analysis on the profit margin, expenses, and backlog of revenue. • Embed the operational risk management framework, including Risk & Control Assessments to identify key risks and controls within collections. • Built ETL pipelines in Databricks using PySpark to process and transform risk management data for credit risk and fraud analytics. • Developed complex SQL queries and create visual dashboard view in Power BI to aggregate risk metrics, identify anomalies.

Data Analytics/ AI: • Identify and define KRI relevant to the organization’s objective and risk appetites. • Collaborate with different stakeholders in designing and implementing end-to-end AI solutions to address business challenges. • Leverage technology tools for efficient KRI monitoring and reporting. • Continuously monitoring KRI and provide regular reports to management, highlighting emerging risk and trends. • Work in a team on LLM ecosystem, including frameworks like LangChain, and vector databases.

• Used Tensorflow to train model for CNN. • Built ETL pipelines in Databricks using PySpark to process manufacturing & test data for yield analysis and defect classification in semiconductor production. • Designed and deployed machine learning pipelines to improve wafer yield & reduce defect density in back-end processes. • Collaborated with process and yield engineers to translate domain knowledge into model features, validation plans, & root-cause analyses.