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Ankita is passionate about analyzing large datasets, deriving intriguing insights, and visualizing those in the most efficient way. Using mainly SQL and Tableau, she tackles projects such as rebate reconciliation, developing a quality management tool to identify anomalies in client claims data, therapy-based population analysis, and RFP automation. She received her master’s in management information systems from the University of Illinois Chicago, UIC. While at UIC, she worked as a graduate assistant, where she executed ETL on large datasets. She designed a data warehouse to reduce the load time by almost 75% and increased the loading efficiency.