Managed and onboarded Fraud monitoring data sources using Kafka real-time data streaming, Redis, and Java web services.Onboarded TIAA Bank (previously Everbank) onto the in-house developed Fraud Investigation Management platform. New features include client facing fraud reporting, service level agreement tracking, and investigator triage workflow.Centralized HR data movement across Anti-Money Laundering, Fraud, and Compliance organizations by developing a Java-based REST web service to pull daily loads and share with downstream consumers in their desired format.Developed a Java / Angular based application to manage the AML Customer Identification Program (CIP), enabling IT to sunset a legacy application and save over $60K per year. This application is currently utilized by 200+ users for case management and investigation.Developed a Program Management application for Senior Compliance and Risk Leaders to effectively manage risks, projects and milestones across their programs. This application utilizes real-time dashboards with dynamic visualizations, filtering, audit and security considerations. Java and Angular are the basis for this application.Developing a Python / Automation Anywhere based bot to automate research in response to Anti-Money Laundering prompted alerts. Estimated to save $31,151 per month.Implemented Python machine learning and automation programs on Linux based production servers.Developed Groovy scripts to process incoming XML files in a variety of formats, clean the data and write the transformed output directly to an Oracle database.Created a Python Natural Language Processing Flask application to calculate customer sentiment by tokenizing TIAA / Nuveen related tweets from the Twitter API.

Teaching Assistant for the UNC Chapel Hill Data Analytics Bootcamp. We cover a wide range of technologies over six months, including the following: SQL, Python, Javascript, Hadoop, Spark, ETL, AWS, Machine Learning, MongoDB, Tableau, Flask, APIs, Web Scraping, and D3.js.

Assisted teaching the UNC Charlotte Data Analytics Bootcamp.

• Developed a Tableau dashboard to optimize shipment scheduling and led to reduced production facility lead times by 15%.• Constructed a capacity model used to maximize daily throughput for the trailer loading and unloading processes.• Delivered an implementation plan to immediately begin utilizing the dashboard and establish direct communication lines.

• Automated robust storeroom inventory reporting process through Excel VBA programming to save ~5 hours per week• Boosted storeroom employee utilization by 9% through standardizing and optimizing equipment delivery scheduling.• Reduced inventory by $147,721 through cooperating with engineers to identify surplus storeroom equipment.• Increased the Georgetown Mill’s contract compliance KPI by shifting $129,829 in spend toward corporate suppliers.• Authorized $31,943 of surplus equipment sales through leading auctions and presenting technical specifications.

• Worked cross-functionally with Finance and HR directors to consolidate ERP system data and analyze vendor payment.• Led the company’s website redesign project by teaming up with HR members to simplify the online job application process.• Volunteered and assisted planning M. B. Kahn’s charity event at Epworth Children’s Home to support quality education.