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
Bachelor of Science
Mathematical Sciences
Master of Engineering Technology
Quality Assurance
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)
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Measured and analyzed performance
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Designed, developed, and optimized reports and dashboards
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Employed Lean Principles to optimize operational efficiency, productivity, and performance
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Built statistical and operations research predictive models to optimize the return on investment for decision making
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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)
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Employed advanced contemporary industrial engineering and statistical methods as required to improve operational performance; identify areas of opportunity, develop, and manages process improvement projects.
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Located and extracted data from a variety of sources for use in reporting, analysis, and statistical modeling to support divisional projects and goals.
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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
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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.
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Utilize metrics and advanced statistical techniques to understand root cause and drive continuous improvement
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Weekly reporting, monitoring of returns root causes and trends
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Coordinate with various departments to support return reduction initiatives and monitor progress, i.e., Logistics, Sales, Service and Finance
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Forecast, report, and ad hoc analysis for resalable and scrap product for Returns, Logistics and Sales Stakeholders.
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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
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Software Applications Utilized: Advanced Excel, Word, PowerPoint, Minitab, Tableau, R
Campaign Insights Analyst |Statistical Modeler
Cox Enterprises
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Transformed raw data into meaningful and insights
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Analyzed Marketing Campaigns’ Performance
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Developed probabilistic predictive / forecast models
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Analyzed marketing trends through advanced statistical techniques
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Daily wrangled data from multiple sources using macros and PROC SQL in SAS
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Visualize findings through graphs, charts, tables and scorecards
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Communicated across teams and departments and to senior leadership
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Audit existing models
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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
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Kennesaw State University | August 2012 – May 2014
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Chattahoochee Technical College | August 2004 – July 2013
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Georgia Highlands College | August 2004 – May 2011
RELATED PUBLISHED ARTICLES AND PRESENTATIONS
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Applied Project – “Determining Predictors for High Achievement In Math: An Ordinal Logistic Regression Analysis using SAS®, R®, SAS Enterprise Miner®, and Minitab®”
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Research Proposal: “Multivariate Logistic Regression Analysis to Identify Factors Leading To Success of College Algebra Distance Learners”
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Meta-Analysis: “Success and Use of Technology for College Mathematics Distance Learners”
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“Quality of Life: A Principal Component Analysis using SAS®”
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Master’s Thesis: “Developing and Implementing Statistical Process Control at FABRICO, a Division of EIS”
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“Establishing Statistical Process Control in a Manufacturing Environment” 1996 Annual Conference for the American Statistical Quality Control
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Applying Statistical Thinking to Improve Results – (Presenters: Mike White and Carole B. Bonner)
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Systematic Problem-Solving for Sustained Improvement – (Presenters: Dr. Larry Aft – Southern Polytechnic State University and Carole Bonner)
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QS 9000 Standards and Compliance – (Presenter: Carole Bonner)
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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.
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Freelance Writer to present