Romain Hardy
Data Scientist @DataVisor
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WORK HISTORY
Data Scientist @DataVisor
Mountain View, CA, US
Objective: Fraud detection modeling.Data: Credit card transactions, loan application submissions, online shipping events, personal information (PI) data, personally identifiable information (PII) data, device and network history.Methods: Supervised machine learning (XGBoost, LightGBM), unsupervised machine learning (subspace clustering), advanced feature engineering (dynamic aggregation features, NLP-based features), big data tools (SQL, PySpark).Results: Achieved a significant monthly reduction in fraud losses for a client bank, captured large-scale loan application attacks, deployed and maintained a high-precision rule set to predict likely victims of account takeover fraud for a high-volume client.
EDUCATION
University of California, Berkeley
Master of Science - MS, Information and Data Science
University of California, Berkeley
Bachelor of Arts - BA, Mathematics and Astrophysics
ABOUT ROMAIN HARDY
I have a MS degree in data science, as well as BA degrees in mathematics and astrophysics from U.C. Berkeley. I draw from more than 4 years of experience in industry, including work at two start-ups in engineering roles. My technical background covers areas such as linear algebra, statistics, computer science, natural language processing (NLP), and computer vision (CV). I also have experience in biomedical machine learning research, on topics such as bone fracture classification, abdominal trauma classification, skin lesion segmentation and classification, and most recently, synthetic liver ultrasound generation.
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