Nimish Kanani is an accomplished data and business analyst with extensive experience in data management and analysis. At Amazon, Nimish orchestrated end-to-end data pipelines and utilized Amazon EMR and Spark to analyze transaction data, resulting in significant abuse prevention savings. Prior to Amazon, at Amgen, Nimish collaborated with the Data Science team to build automated data pipelines, leading to substantial time savings across various operations. Earlier experience includes a role as a Data Analyst at Electrical Controls and Systems, where contributions to report development and data quality maintenance enhanced sales and reduced product failures. Nimish holds a Master's degree in Electrical and Electronics Engineering from The University of Texas at Arlington and a Bachelor's degree in Electrical Engineering from Gujarat Technological University, along with a Nanodegree in Data Engineering from Udacity.
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