Autodesk
Hari Patchigolla is a Machine Learning Engineer II at Autodesk, with a focus on developing a text-to-analytics solution that enhances data exploration across extensive schemas in Snowflake. Previously, as a Data Scientist, Hari implemented a fuzzy matching pipeline for Electronic Bank Statements, achieving significant accuracy rates for international customers. An internship experience includes advancing predictive models for customer churn during a collaboration with finance teams. Academic roles include serving as a Teaching Assistant and an Undergraduate Research Assistant at the University of Connecticut, contributing to automated grading and analyzing DNA sequencing data. Additional experience includes a Data Scientist Internship at Optum, utilizing NLP models, and a research internship at UConn Health. Hari holds a Bachelor of Science in Computer Science from the University of Connecticut and is pursuing a Master of Science in Computer Science at the Georgia Institute of Technology.
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