• Lead development and tuning of AML transaction monitoring rules across Messenger P2P, WhatsApp Brazil P2P and Donations, resulting in 20% reduction of false positive alerts while maintaining risk coverage and meeting regulatory obligations• Gathered and presented metrics for AML stakeholders showcasing overall operations and efficiency of the program, highlighting ongoing issues and assisting with new initiatives

• Working onsite with Facebook's data insights and analytics team within payments compliance

• U.S. AML Office Employee of the Month (July 2019)• Redesigning current alert models using machine learning algorithms, including logistic regression, random forest and xgboost, allowing for better capture of money laundering activity and reduced rates of false positive alerts

• Provided data science and business support for implementation of big data initiatives using Hadoop technologies, reducing false positive alerts by 16%• Developed automated credit card anomaly detecting system using k-means clustering in Pyspark to predict suspicious transactions • Designed and created customer risk scoring calculator using Python, allowing users to tune scores for risk factors and apply machine learning algorithms to predict high risk characteristics • Assisted in instruction of practicum at University of Illinois Urbana Champaign, teaching students essential data science techniques including ad hoc statistical analysis and machine learning using Google Cloud, BigQuery and Python

• Completed 10 week training program consisting of Unix, SQL, Excel/VBA, Java, and BA• Worked on client site in data science capacity• "Consultant of the Month Award" winner

• Collaborated with research team to acquire data on one-year Masters programs to use asbenchmark for Master of Management program at Ross, allowing for proper evaluation ofprogram• Developed and presented competitive assessment report to Managing Director of Master ofManagement program to highlight findings from research, improving and ensuring futuregrowth of program

• Interviewed clients and generated life insurance policies that coincided with client financialgoals and ensured customer satisfaction• Implemented largest whole life policy by college financial representative during summerwith value exceeding $900,000• Ranked top 3 in commissions earnings for college financial representatives in Michigan

• Implemented new orginizational system to develop patient information spreadsheets usingC#, SQL and SSIS, which created more structure and formatting within hospital database• Created reports for doctors to allow them to receive patient information in organizedmanner, which increased workplace efficiency and created better information flow forpatient care