Resume

• 2012

  MS Business

  Decision Sciences and Business Analytics

• 2009

  SIUE

  ADT

  KPMG Ghana

  Virginia Commonwealth Universty

  Richmond

  VA

  Performed data mining techniques (utilizing SAS Enterprise Miner) to assess credit risk of potential borrowers at the time of application in order to make informed decisions on funding the loans and increasing Return on Investment.\n \n1. Prepared data and conducted principal component analysis to provide insight on key variables.\n2. Created two types of models; Decision Tree model and a Binary Logistic Regression model to predict the credit risk of a borrower\n3. Models were validated using a validation sample of the data.\n4. Used a composite score consisting of computed accuracy

  stability

  simplicity

  and lift performance measures to determine the best model.\n5. Presented results and recommendations to Capital One Credit Risk Expert

  Subject Professor and Business school graduate students.

  Credit Risk Analyst

  Capital One and VCU Business School Business Intelligence project

  KPMG Ghana

  Avalon Consulting Group

  Washington

  District Of Columbia

  predictive modeling for targeting prospective donors for fundraising campaigns.\nmaking informed decisions on prospects to reach based on modeling output and also on key objectives of a campaign.\nsignificance testing in A/B type testing\nanalysing data for key performance metrics used in strategic decision making \nperiodic dashboard reporting used for ongoing program assessments \nad hoc projects such as randomization of leads for testing groups

  Statistician

  Researched and identified Indicator variables which aided in forecasting sales for the financial year.\nConducted extensive product

  consumer

  and financial research to identify innovative & unique sales forecasting indicators not previously used by the company.\nIdentified a new and unique key sales forecasting indicator

  its life-cycle

  and historical data source \nInitiated contact and collaborated with leadership of the organization responsible for gathering and storing the indicator data.\nInitiated and orchestrated processes and procedures necessary to obtain access to the databases housing the data.\nUtilized data to create and test a forecasting model which accurately predicted acceptable levels of historical sales

  thus validating the model for use in the successful forecasting of future sales for Charles Luck/ Luck Stone. Prepared a formal presentation and presented findings.

  Forecast Analyst

  Richmond

  Virginia Area

  Charles Luck Stone Center and VCU Snead Business School BI project

  Teach College level Business Statistics and Differential Calculus applications in Business. Use of statistical tools SPSS for cluster analysis

  Logistic Regression

  Factor analysis

  etc

  SAS Enterprise miner for data mining

  Microsoft Excel Pivot tables

  data analysis tool pack and v-look up for analyzing data. Application of derivatives to find rates of change of functions.

  Adjunct Instructor/Graduate Assistant

  Richmond

  Virginia Area

  VCU Business School

  SIUE

  ADT

  Boca Raton

  Senior Analyst - Advanced Analytics

  MSc. Statistics and Operations Research

  Statistics and Operations Research

  Southern Illinois University

  Edwardsville

• Data Entry

  Microsoft Excel

  SPSS

  Editing

  Microsoft Office

  Matlab

  Public Speaking

  Student Affairs

  Student Development

  Research

  Statistics

  Analysis

  Microsoft Word

  Teaching

  Access

  PowerPoint

  SAS

  Social Media

  Data Analysis

  Higher Education

  Larvie

  Lucinda

  Larvie

  Capital One and VCU Business School Business Intelligence project

  Avalon Consulting Group

  Charles Luck Stone Center and VCU Snead Business School BI project

  VCU Business School