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Carole Bonner

Statistical Analytic Consultant

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Email:

Location:

Atlanta, Georgia

Portfolio:

A Bit About Me

Hey there, I’m Carole, the founder of Savvy Analytics Solutions (July 2015), an Analytics Consultant, a former Adjunct, and an entrepreneur. I am accustomed to effectively interacting with stakeholders to understand business problems, challenges, and concerns. Able to reframe these requirements into statistical questions for data-driven solutions and palatable data stories.

Educational Background

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Bachelor of Science
Mathematical Sciences

 

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Master of Engineering Technology
Quality Assurance

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Master of Science
Applied Statistics

TYPES OF ANALYSES

DESCRIPTIVE (Exploring & Reporting)

PREDICTIVE (Forecasting)

DIAGNOSTIC (Root Cause)

PRESCRIPTIVE  (Competitive Advantage)

TOOLS
 
SQL

SAS Base / Enterprise Guide

R Programming / R Studio

Power BI (Proficient)

​EXCEL (Advanced)

Tableau (novice)

MACROS

ACCESS

POWERPOINT

INFORM (WFM Optimization)

TOP ADVANCED TECHNIQUES

SUPERVISED MACHINE LEARNING (ML/AI)

Linear Regression

Logistic Regression

Polynomial Regression

Multinomial Logistic Regression

Ordinal Logistic Regression

Multiple Linear Regression

K-Nearest Neighbor

UNSUPERVISED MACHINE LEARNING (ML/AI)

K-means Clustering

Anomaly detection

Principle Component Analysis

Factor Analysis​

BUSINESS INTELLIGENCE

Formal Reporting (for Academia)

Dashboards

Presentations

Visualizations

Automation

Data Stories

Work Experience

May 2019 - April 2021

March 2015 - December 2015

January 2015 - June 2015

August 2004 - June 2015

1996 - present

Performance Analyst|Industrial Engineer
Delta Global Services (unifi)
  • Measured and analyzed performance

  • Designed, developed, and optimized reports and dashboards

  • Employed Lean Principles to optimize operational efficiency, productivity, and performance

  • Built statistical and operations research predictive models to optimize the return on investment for decision making

  • Provided real-time data for workforce supply/demand gap and forecasts available resources (e.g. collecting, interpreting and analyzing demographics, current and projected staffing levels, current and projected skill mix, turnover trends, and training and background check pipelines)

  • Employed advanced contemporary industrial engineering and statistical methods as required to improve operational performance; identify areas of opportunity, develop, and manages process improvement projects.

  • Located and extracted data from a variety of sources for use in reporting, analysis, and statistical modeling to support divisional projects and goals.

  • Provide ad-hoc analyses and data support on complex subjects and material in an expedited manner

Software Applications Utilized: SQL, SAS, Teradata, Access, Excel, Power BI, INFORM

Business Statistical Analyst
Samsung Electronics
  • Work closely with Home Depot, JCP, Costco, and ECommerce Business Center teams and task forces to provide analytic support regarding Samsung returns for major home appliances.

  • Utilize metrics and advanced statistical techniques to understand root cause and drive continuous improvement

  • Weekly reporting, monitoring of returns root causes and trends 

  • Coordinate with various departments to support return reduction initiatives and monitor progress, i.e., Logistics, Sales, Service and Finance

  • Forecast, report, and ad hoc analysis for resalable and scrap product for Returns, Logistics and Sales Stakeholders.

  • Interface with internal and external stakeholders to get appropriate information for full analysis of returns and all factors contributing to returns, provide feedback and recommendations

  • Software Applications Utilized: Advanced Excel, Word, PowerPoint, Minitab, Tableau, R

Campaign Insights Analyst |Statistical Modeler
Cox Enterprises 
  • Transformed raw data into meaningful and insights

  • Analyzed Marketing Campaigns’ Performance

  • Developed probabilistic predictive / forecast models

  • Analyzed marketing trends through advanced statistical techniques

  • Daily wrangled data from multiple sources using macros and PROC SQL in SAS

  • Visualize findings through graphs, charts, tables and scorecards

  • Communicated across teams and departments and to senior leadership

  • Audit existing models

  • Employed shell, VBA, and SQL scripting to automate reports

Software Applications Utilized: SAS, R, SQL, Macros, STATA, Excel, Access, Salesforce, Business Objects, and more.

CASE: Assisted Marketing Team for campaign to launch a new Purchase Protection Program. I utilized SAS to develop a Logistic Regression Model that provided the relationship between the probability that a buyer would join the program and the many influencing factors. As a result a target list was developed as well as a means to determine the break-even point of the marketing plan. The model was delivered in an interactive Excel Workbook, and the target list was output to the Marketing Team’s SharePoint.

Mathematics/Statistics Adjunct
  • Kennesaw State University | August 2012 – May 2014

  • Chattahoochee Technical College | August 2004 – July 2013

  • Georgia Highlands College | August 2004 – May 2011

 

RELATED PUBLISHED ARTICLES AND PRESENTATIONS
  • Applied Project – “Determining Predictors for High Achievement In Math: An Ordinal Logistic Regression Analysis using SAS®, R®, SAS Enterprise Miner®, and Minitab®”

  • Research Proposal: “Multivariate Logistic Regression Analysis to Identify Factors Leading To Success of College Algebra Distance Learners”

  • Meta-Analysis: “Success and Use of Technology for College Mathematics Distance Learners”

  • “Quality of Life: A Principal Component Analysis using SAS®”

  • Master’s Thesis: “Developing and Implementing Statistical Process Control at FABRICO, a Division of EIS”

  • “Establishing Statistical Process Control in a Manufacturing Environment” 1996 Annual Conference for the American Statistical Quality Control

  • Applying Statistical Thinking to Improve Results – (Presenters: Mike White and Carole B. Bonner)

  • Systematic Problem-Solving for Sustained Improvement – (Presenters: Dr. Larry Aft – Southern Polytechnic State University and Carole Bonner)

  • QS 9000 Standards and Compliance – (Presenter: Carole Bonner)

  • An Overview of "Quality System Requirements QS-9000," the common supplier quality standard for DaimlerChrysler Corporation, Ford Motor Company, and General Motors Corporation. QS-9000 is based on the 1994 edition of ISO 9001.

  • Freelance Writer to present