Sinjini Shah is a data scientist with extensive experience in developing advanced analytical systems and data-driven solutions. Currently employed at Chubb, Sinjini previously served as a data scientist consultant at HRA, where significant improvements in financial risk analysis and data architecture design were achieved. Sinjini's background includes roles in teaching assistance at Columbia University, student data science projects at Apple, and product management at Kings County Distillery, demonstrating a diverse skill set in data science, engineering, and project leadership. Sinjini holds master’s degrees in Business Analytics from both Columbia University and Columbia Business School, as well as a Bachelor of Technology in Computer Science from Parul Institute of Engineering and Technology.
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