Mohamed Samir Email and Phone Number

- Performs complex data analysis in support of ad-hoc, standard, and project related requests.- Develops programs, methodologies, and files for analyzing and presenting data.- Uses and support database applications and analytical tools to: evaluate data quality, applications, and functions, produce output, and maintain operation.- Researches new data sources, data analysis contribution to projects and provide input on improvements in data quality process & procedures.- Supports and enhance processes around using data profiling, data quality, data mapping, and metadata tools to validate and uncover root cause data issues, maintain data dictionary, mapping rules and data lineage.- Provides a repeatable set of processes for determining, investigating and resolving data quality issues and that establishes an on-going process for data quality maintenance- Demonstrates knowledge of the inter-dependencies between system functionality and associated business processes in order to enhance data quality and metadata management processes.- Ensures Quality standards & measurements are followed for according to HMC and JCI.- Perform other duties as required.

• collects data from various data sources -- structured or not.•Provide BI reports and tools.•Perform SQL queries - design, code, test, and aggregate the results to create useful information.•Map various databases used in the organization.•Develop, design, and analyze data architecture and data warehouses. •Handle raw data using data processing transformations and algorithms to create predefined data structures. • Transform and integrate various data into a scalable data repository (such as a data warehouse, data lake, cloud). • Evaluate business needs and objectives to help in decisions making. •Creating visualizations or dashboards to reflect data visually• Conduct complex data analysis and report on results • Prepare data for prescriptive and predictive modeling • Develop analytical tools and programs Collaborate with data scientists and architects on several projects .• Prepare automated data pipelines to transform and feed the data into dev, QA and production environments.