Jinal Shah is an AI Scientist at Kearney, specializing in data science, analytics, and artificial intelligence. With a Master’s in Big Data Analytics from St. Xavier's College and a Bachelor’s in Applied Statistics and Analytics from NMIMS, Jinal has developed a strong foundation in statistical data analysis and machine learning. Previously, Jinal held various roles, including Associate Consultant and Data Analyst Intern at EY, and contributed as a writer and coordinator for Insurology. Known for being result-driven and business-minded, Jinal possesses expertise in R and Python programming, and has demonstrated an ability to derive valuable insights for FMCG clients through data analysis.
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