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Data Analytics Intern
Nuvento•  June 2019 - August 2019
• Identified opportunities to increase efficiency and accuracy of Anti-Money Laundering software modules by replacing rule-based algorithms with machine learning algorithms. • Developed machine learning algorithms using Python to identify anomalies in transactions leading to reduction in false positives. • Created an interactive dashboard in Tableau to visualize and investigate the anomalies.
Education
University of Texas at Dallas, Richardson
Data Science, MS•  August 2018 - May 2020
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