Nada Faiz Ali

Led end-to-end data extraction, cleaning, validation, and preprocessing for high-volume operational datasets, improving data accuracy, consistency, and usability across multiple reporting systems. Optimized ETL pipelines by redesigning transformation logic and implementing SQL-based automations, resulting in a 30% increase in efficiency, a 25% reduction in processing time, and more stable data flows. Partnered with engineering and analytics teams to troubleshoot data discrepancies, perform root-cause analyses on pipeline failures, and deploy long-term preventive solutions to improve data health.

Data Miner - Automatic Data Processing (ADP) - Hyderabad

(2021-10 - 2023-10)

• Led end-to-end data extraction, cleaning, validation, and preprocessing for high-volume operational datasets, improving data accuracy, consistency, and usability across multiple reporting systems.
• Optimized ETL pipelines by redesigning transformation logic and implementing SQL-based automations, resulting in a 30% increase in efficiency, a 25% reduction in processing time, and more stable data flows.
• Partnered with engineering and analytics teams to troubleshoot data discrepancies, perform root-cause analyses on pipeline failures, and deploy long-term preventive solutions to improve data health.
• Developed SOPs, documentation, automated quality checks, dashboards, and custom reports to support cross-functional data needs and streamline team workflows in a fast-paced environment.

Master of Science - Data Science - DePaul University (2024 - 2025)

Bachelor of Engineering - Computer Science - Osmania University (2017 - 2021)