Applied supervised and unsupervised machine learning algorithms to Deloitte US Firms engagement client data to identify operational risk across a portfolio of over $20B and over 300 clients using SPSS ModelerIdentified over 100 fraudulent accounts associated with a $50MM+ money laundering scheme at one of the US largest banks and helped crate the proactive analytics fraud prevention strategy

Helped develop the risk monitoring and fraud detection strategy for a utility company using K-means clustering and engineered statistical data features that pinpoint anomalies within the customer operations unitUsed SPSS modeler and followed CRISP-DM to help build an advanced predictive model using decision tree algorithms to identify patterns in engagements with high risk of potential write-downs of $100k+

Selected as one of 350 for an 18-month professional development program for high-achieving diverse talentComplete business case studies and intensive assignments to hone analytical, quantitative and communication skillsParticipate in four conferences hosted by industry leaders, such as Deloitte, Google, Goldman Sachs, Procter & Gamble and Target

Created easy to navigate surveillance dashboards in Power BI and Tableau after integrating data sources from disperse data sourcesCollected and transformed data from disperse datasets for staging and machine learning model training tables using SQL

Improved external manufacturers efficiency through process optimization and data analysis related to waste expenses while working with engineers and procurement resulting in cost reductions of up to 30% Created a business blueprint to work with a US customer who ordered 23 new SKUs from Europe resulting in revenue increase of 1.7MM

Managed and built relations with major corporate sponsors such as PepsiCo, J&J, AT&T, Prudential, and more, to host 10+ professional development and recruiting events per semester, which resulted in securing 30+ internship and full-time opportunities for the student bodyLead and motivated an executive board of 10 and 30+ committee members to promote the organization from tier 3 funding to tier 1 Tripled social media followers and likes after using Google Analytics and other tools to analyze web page traffic, social medial ratings, reviews, and surveys to implement new marketing strategiesCreator of MMS Live, the first Rutgers Business School organization to create a radio show that educates more than 100 students in business and technology

Held security clearance to conduct data analysis and translated sensitive conversations that resulted in identifications of new targets overseas and offshore bank accounts from organized crime groups Clear understanding of the applications used by the agency and how to operate sensitive information systems to gather intelligence on priority targetsCompleted an Advanced Call Detail Records Analysis Course with an emphasis on the use of Excel and Google Earth Pro as an investigative tool to analyze call detail records for nearly any type of investigationAttended Top Gun Class 49 with approximately 100 state, county and federal law enforcement officers and prosecutors to receive classroom instructions and practical exercises on the following: Gang & Narcotics Investigations, Using Informants and Legal Issues, Basic Undercover Principals, Interviews and Interrogations, Firearms Familiarization, Unarmed Combat, Surveillance Principals, Intelligence on Targets, Raid Planning, Search and Seizure, and Search Warrants.

Organized and verified applicants proof of property damage and project completion expenses to FEMA for recovery grants of up to $1 million using NJEM Grant system Created the 2015 Office of Emergency Management Multi-Year Strategy Microsoft Access Database with members of the Regional Operations Intelligence centerAttended the NJ 2015 Summer Symposium On School Safety to learn about: Bomb Threat Awareness and Response, Swatting, How successful Leaders Manage Crisis, Planning and Drilling