Muhammad Jawwad Abdul Jabbar

• Maintaining and validating data integrity across Salesforce, Excel, and Oracle-based systems by building and supporting ETL pipelines using Alteryx for data transfer, comparison, and quality checks. • Ensured data completeness and plausibility through continuous validation routines, contributing to clean and reliable customer data management across platforms

• Annotate stuttering speech data from the healthcare domain using Label Studio and developed custom Python scripts to automate the labeling process and export annotations in JSON format for further analysis. • Evaluated VoicePAT (Voice Privacy Anonymization Toolkit) by calculating EER (Equal Error Rate) scores, integrating custom audio datasets, and utilizing SpeechBrain toolkits to assess and compare anonymization performance.

- Optimized SQL queries and managed resource allocation to improve query performance by 7% and reduce processing time by 5%, enabling faster data analysis and better decision-making. - Development of complex SQL queries, stored procedures, and ETL logic to extract and transform data from diverse sources like Data Lakes and SQL Servers. - Designed and automated ETL pipelines for the Business Intelligence unit at HBL, reducing manual work by 10% through report automation in Power BI.

- Developed a Power BI dashboard to identify stoppages, leading to a 3% improvement in productivity by reducing response times. - Identification and elimination of non-value-added activities using value stream mapping (VSM). - Development of Kaizen culture to improve productivity, quality and moral in the whole organization. - Calculated Cost of Poor Quality (CoPQ) and then highlighted improvement opportunities during operations