I am a business-savvy data scientist with a masters and 4 years of machine learning experience. I have a proven ability to lead teams to solve complex, impactful AI and big data problems in cross-functional organizations with many stakeholders.
Led team of 5 to build and deploy 2 end-to-end CI/CD ML pipelines for a new client: from ingesting live data from 4+ text sources via Kafka to automating financial risk classification
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Collected requirements from client and organized into discrete pieces of work to delegate
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Performed EDA independently on text, free-text, and numerical input data associated with 2 of these sources and designed transformations like fuzzy matching, keyword search
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Built, optimized, and validated 3 of the 8 decision tree classifiers through several iterations
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Composed weekly reports on the health of the production system, deployed optimizations
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Supported the team’s completion of the rest of the pipeline: integrated with vendors through Kafka, performed EDA, designed and built 50+ table SQL database, designed and built 5 classifiers, designed and built automated testing framework
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Performed technical advising, implemented versioning system and code reviews
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Supported the creation of a question vs. answer classifier for a 2nd client including tokenization, TF-IDF, and decision tree classifier achieving > 96% accuracy
