 Worked with cross-functional teams to collect, analyze, and interpret large data sets, totaling over 100 GB, using statistical techniques to identify trends and patterns. Developed and implemented data models and algorithms to improve data quality, accuracy, and efficiency, resulting in a 25% reduction in data errors and a 30% improvement in data processing efficiency. Designed and maintained data pipelines to ensure timely and accurate delivery of data to stakeholders, resulting in a 20% reduction in data processing time. Utilized SQL and Python to clean, preprocess, and transform data before analysis, and applied machine learning techniques to solve complex problems. Created reports, dashboards, and data visualizations using tools such as Tableau and Power BI, and presented insights and recommendations to senior management. Worked on Microsoft D365 CRM tool for the D365 Concierge team as a Microsoft Vendor, fixing bugs and IcM issues, and collaborating with Microsoft and client development teams to implement external APIs into web applications. Participated in continuous improvement initiatives to enhance data analysis processes and tools, resulting in a 15% improvement in data