Kunal Mehta is an accomplished Data Scientist with extensive experience in predictive analytics and data processing. At Allstate, Kunal developed a predictive analytics tool that effectively segmented potential customers into risk categories, resulting in a 15% reduction in claim amounts and a 20% optimization in marketing expenditures, alongside a 25% improvement in conversion rates through targeted marketing strategies. Kunal continued to refine data science expertise at Google, while previous experience at Global Tech involved rigorous testing and validation of models and optimizing data processing with Apache Spark, achieving a 40% reduction in processing times. Kunal holds a Master of Science in Computer Science from The University of Texas at Arlington and a Bachelor of Engineering in Computer Science from L.D. College of Engineering.
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