Mohammed Abdul Email and Phone Number

As a Data Analyst at Printpack, I specialized in transforming raw data into actionable insights. I designed and optimized SQL queries for efficient data extraction, developed interactive Tableau dashboards to support strategic decision-making, and leveraged AWS services like S3 and Redshift to build scalable data pipelines. My role also involved creating ETL processes for seamless data integration, utilizing Python for data analysis and automation, and implementing data quality checks to ensure accuracy. I collaborated closely with cross-functional teams to align data models with business goals, driving data integrity and process efficiency across the organization.

Began my career at TAQ Systems, where I managed and optimized complex MySQL databases, creating efficient queries and stored procedures to support reporting needs. I designed and maintained NoSQL databases using MongoDB for unstructured data, enhancing query performance through indexing. Leveraging Python libraries such as Pandas, NumPy, and Matplotlib, I conducted advanced statistical analysis and visualized data trends. I developed Power BI dashboards to integrate data from multiple sources, providing real-time insights to drive decision-making. Additionally, I deployed and managed Azure-based data solutions—including Azure SQL Database and Data Factory—to support scalable data processing. With experience in GitHub for version control and collaboration, I worked closely with data engineers and software developers to maintain a consistent analytics codebase. I also applied machine learning techniques like clustering, classification, and regression to predict outcomes, completed data migration projects to Azure, and provided actionable financial insights through Excel and SQL analysis.