Mahammad Rafi is a seasoned Healthcare IT Consultant at CitiusTech, bringing over seven years of specialized experience in product management, business systems, and data analysis to the forefront of healthcare technology. His current role emphasizes managing vendor engagements and ensuring seamless data delivery, which is...
Mahammad Rafi is a seasoned Healthcare IT Consultant at CitiusTech, bringing over seven years of specialized experience in product management, business systems, and data analysis to the forefront of healthcare technology. His current role emphasizes managing vendor engagements and ensuring seamless data delivery, which is critical in today's fast-paced healthcare environment. Mahammad has successfully spearheaded the analysis of healthcare and financial data requirements, playing a pivotal role in the development of enterprise-level data hubs designed for healthcare claims and enrollment processes.
One of Mahammad's key achievements includes reducing data delivery timelines by an impressive two months. This was accomplished through the strategic building of Data Hubs, integration points, and data pipelines, which streamlined operations and enhanced data accessibility for stakeholders. His collaborative approach involves working closely with both business and IT stakeholders to align on objectives and the overarching vision for data hubs, ensuring that all parties are informed and engaged throughout the process.
Mahammad's expertise extends to advanced technologies and methodologies, including Deep Learning, Apache Spark, and Azure Data Factory, which he leverages to drive innovation in data management. His proficiency in Microsoft Power BI, Shell Scripting, and database management with Microsoft SQL Server and Oracle Database further solidifies his capability to analyze complex datasets and deliver actionable insights. With a strong foundation in claims management and a deep understanding of healthcare IT landscapes, Mahammad Rafi continues to make significant contributions to the industry, enhancing the efficiency and effectiveness of healthcare data solutions.
