Data Analyst, Statistical Analysis

**** ***** **** *** **** Largo, MD *****• (cell)313-***-****•email: ********.*****@*****.***

Angelice R. Floyd

Summary

Core Strengths and interests: Statistical analysis, statistical forecasting, Experimental Design, Data Analysis, Least Squares Regression Analysis, Generalized Least Squares Regression methods, Analysis of Variance, Generalized Linear Models, Logistic Regression, Data transformation, Model diagnostics and validation, Likelihood Ratio Test, Maximum Likelihood Estimation, Null Hypothesis Statistical Testing, Confidence Intervals, statistical power calculation, Regression and Classification Trees, K Nearest Neighbors, optimization models, data validation and data cleaning, non-parametric and parametric statistical methods, Linear Algebra, Calculus

Skilled and experienced in:

Technical: Microsoft Excel programs (Data Analysis Tool Pak, Data organization (sorting, filtering, conditional formatting, correlation tables), Pivot Charts and Pivot Tables, Excel Spreadsheets, creating formulas), Word, PowerPoint, PcGive (Ox metrics), SAS ( PROC SQL, macros for data processing, data analytics, data cleaning, and data exploration, data modelling, data optimization), R(SQL, data modelling, data cleaning and exploration, non-parametric statistical methods, data importing from API platforms), Python ( data cleaning, data validation, and statistical modeling modelling)

Professional Experience

Data Analyst and Statistician -United States Postal Service (January 2019 – Present) 40-hrs/week

• Conducts monthly and quarterly analyses and produces reports on product level revenue, volume and weight data utilizing SAS programming, inferential statistical modelling, data mining, data cleaning, and descriptive statistical summarization in SAS and Microsoft Excel.

• Utilized SAS programming and macros to streamline financial models that calculate revenue, volume and weight for negotiated contracts between the United States Postal Service and private organizations.

• Employed least squares regression methods in SAS and R programming languages to produce volume forecasting models. Forecasts were used for operational and personnel allocation decisions during peak operational periods.

• Updated and provided analyses of scenario models for operational changes (SAS and R)

• Streamlined optimization models through SAS programming for improved multi-site machine utilization. Coordinated with teammates to conduct statistical and scenario analyses using the updated optimization models.

• Updated and utilized SAS programming to track staffing performance: SAS programming was used to produce monthly reports that monitored the efficiency and accuracy of regional statistical sampling practices used to calculate prices used for international transactions.

• Produced quarterly staffing reports that monitored staffing productivity using SAS programming. Once the data was processed and analyzed in SAS, I used Microsoft Excel to analyze the accuracy and productivity of the data collecting staff to aid in establishing national data collection standards for International Mail sampling.

• Conducted data validation and trend analyses for international products- I identified outliers and recording errors in pricing-based data that was used in financial reporting. I presented the findings to upper-level management

(cell): +1-313-***-**** •email: ********.*****@*****.*** Angelice R. Floyd

• Validated and analyzed statistically sampled data used for international transactions and correspondence. When conducting quarterly transactional correspondence with various countries, I validated the sample data used for the transactions. When designated operating postal services in various countries proposed financial alternatives, I conducted cost analysis to identify the financial loss or gain for the Postal Service that would occur because of the compromise. Economist Trainee- United States Postal Service (July 2017-January 2019) 40hrs/wk.

• Conducted and reported economic research regarding the factors that affect the demand for First- Class products. Through periodical and data research, I identified enhanced marketing methods, cost strategies, and policies that were enacted [within the United States and developed countries with similar economic structures to the United States] which significantly contributed to changes in demand and consumption patterns for Marketing mail and First-Class mail

• Utilized SAS programming to organize and report mail processing cost data

• Designed and created costing and pricing tools in Microsoft Excel that tracked the international invoices received by the United States Postal Service from other countries. This tool was also used to help pilot and institutionalize a standard reporting and rate validation system. Served as a liaison for cross functional departments that will use this pricing tool. Trained the end users and on how to navigate, read, and update the tool.

• Conducted financial and trend analysis and model pricing and costing simulations. Created financial models that project the revenue, costs, cost coverage, and profitability of international mailing contracts. Consults for and contributes to the redesigning and process improvements of the financial model creation and filing process.

• Created standard operating procedures and quality control measures for producing financial models. These were used to train newly hired employees and new team members who would prepare financial models and conduct analyses.

• Utilized information system programs to gather economic data useful in project analysis.

• Collected data for cost studies and trend analysis reports. Compiled economic and statistical data for use in the decision-making process and prepares summary reports. Assisted in the development and structuring of rate and cost concepts, trends, and actualities. Economic Development Intern – Wayne County Economic Development Corporation, Detroit, MI (November 2016 – January 2017) 40hrs/wk.

• Key researcher, developer, and reviser: 2017 Environmental Protection Agency Assessment Grant Application for Brownfield Redevelopment Sites in Delray Southwest Detroit, Boynton-Detroit and River Rouge- Detroit regions with the Wayne County Brownfield Authority Coalition.

• Worked in collaboration with the Lead Grant Writer to conduct economic-need indicator and demographic data research obtained from the United States Census, The United States Bureau of Labor Statistics, The Detroit City Council, The Detroit Regional Chamber of Commerce, Southeast Michigan Council of Government, and Southwest Economic Solutions

• Economic indicators and demographic data included: median household income, poverty rate, crime rate, median age, minority resident population, occupation sector breakdown, health insurance population, government assistance recipient population, unemployment rate, educational attainment rate, total labor force population, total population. total recreational and commercial establishments categorized by Census Tract

(cell): +1-313-***-**** •email: ********.*****@*****.*** Angelice R. Floyd

• For data presentation and preparation: Microsoft Excel capabilities were utilized: VLOOKUP, Conditional Formatting, Analysis tool Pak for regression, Pivot Tables, Creating tables, Data Sorting and filtering.

• Introduced economic analysis and research methods to the grant writing process. Enhanced the credibility and the overall quality of the grant application.

• Political Correspondence writer: Edited political endorsement correspondence for Government officials including Senator Gary Peters and Representative John Conyers. Wrote letters that requested grant approval recommendations from government and private entities

• Decreased the cycle time of the grant application process and increased office productivity

• Analyzed business effects and benefits of various Brownfield Economic Redevelopment Plans within Wayne County Michigan region.

• Policy Administration Analysis: Identified and reported important property agreements, financial agreements, developer responsibilities, and policies surrounding the requirements of economic development projects.

Summer Economic Analyst Intern- SF Consultant LLC, Detroit, MI (June 2015

– September 2015) 20hrs/wk.

§ Analyzed the macroeconomic co-benefits of energy plant reduction of CO2 emissions [within the compliance of the Environmental Protection Agency of America policies] for a $250,000 government bid for the State of Michigan

§ Conducted economic impact analysis using economic indicators that included: potential job creation, energy efficient corporation attraction, inward investment, trade opportunities, and price volatility

§ Modelling Run Planner: Showed the effects of compliance scenarios on retail electricity price, MISO and PJM energy market prices through data accumulation, manipulation and validation

(diagnostic, variance, significance, and correlation test methods using PcGive (Ox metrics) statistical analysis tool

§ Forecasting plan Developer: forecasting percentage of energy generation (by fuel types) in Michigan by 2030, CO2 emissions (tons) and emission rates (lbs. /MWh) for Michigan, and Section 111(d) United States Clean Power Plan compliance costs (by rate class).

§ Introduced the statistical software tool PcGive(Ox metrics) that was vital for the forecasting and modelling plan.

§ Provided valuable economic expertise and methodological services that were vital to the bid

§ Website Development Consultant: Created social media platform (i.e. Facebook, Soundcloud.com, and developed website). Increased marketing effectiveness Research and Professional Experience

Statistical Consulting for University Research: Efficacy of RADPAD Radiation Absorbing Draped in Veterinary Cardiac Procedures: North Carolina State University ( 15 May 2024 – 1 August 2024)

(cell): +1-313-***-**** •email: ********.*****@*****.*** Angelice R. Floyd

Research Question 1 : Does the use of RADPAD drapes reduce radiation exposure for each catheterization lab personnel role, averaged across four different types of fluoroscopy-guided veterinary interventional cardiac procedures?

Research Question 2: Does the effect of RADPAD drapes in reducing radiation exposure for each catheterization lab personnel role vary by procedure type?

• Conducted statistical analysis on data from an observational study to compare the levels of radiation exposure to medical personnel for RADPAD usage and non-RADPAD usage.

• After Box – Cox transformation was applied to radiation exposure response variable, used Analysis of Covariance to estimate the mean radiation exposure for RADPAD and non-RADPAD usage by procedure type, controlling for the variation in patient weight and fluoroscopy time. This was done for response exposure that displayed a relatively normal distribution.

• When heteroskedasticity in the model residuals for certain occupations was discovered after ANCOVA was performed, Generalized Least Squares Regression was used, with compound symmetry correlation structure and RADPAD usage as the weight for differing variance ( the variance weight was determined after AIC verification of RADPAD, Procedure Type and interaction of RADPAD and Procedure type variance weights were compared) .

• For one of the occupations, a Generalized Linear Model was done with a log-link transformation to account for the non-normal distribution structure of the response, since the Box-Cox transformation did not mitigate the non-normality in the residuals.

• Reported contrasts to display the estimated difference in exposure for RADPAD usage vs non- RADPAD usage by procedure type.

• Conducted initial exploratory data analysis to observe empirical trends in the usage exposure, weight, and fluoroscopy time by occupation and procedure type.

• Utilized R programming for modelling, exploratory data analysis and project compilation Statistical Analysis for peer reviewed article: Lean Six Sigma Global Competition: COVID-19 Health Industry (March 2020 – September 2020)

• Utilized Least Squared regression cross sectional analysis to display factors that can potentially affect average COVID-19 case rates in the United States. The factors included Population Density, Chronic Lower Respiratory Disease Rate, and CDC update and emergency alert communication times in hours .

• Utilized Ox metrics statistical analysis software for data modelling and Excel for exploratory data analysis.

• Won 3rd place in the International Industrial Engineering and Operations Management Society article competition that produced a published article. Independent Researcher: Economics Dissertation- Durham University UK

(June 2015- 18 March 2016) 20hrs/wk.

Title: “Let Us Not Forget the Strength of the Middle: The Correlation between Cognitive Skills Attainment in Secondary School and Economic Growth and Development in Developed and Developing Countries”

Supervisor: Dr. Tatiana Damjanovic Chair in Macroeconomics in the Durham University Business School UK

• Independent Researcher: dissertation observing the correlation between cognitive skills attainment during secondary education and economic growth and development in developed and developing countries

(cell): +1-313-***-**** •email: ********.*****@*****.*** Angelice R. Floyd

• Empirical analysis: Collected, validated (diagnostic, variance, significance, and correlation tests) and analyzed Panel (National Longitudinal) data using statistical analysis tool PC Give (Ox metrics)

• Identified indicator correlation using Microsoft word and R2 findings.

• Utilized the (1999) Mankiw, Romer, Weil Human Capital Model for analysis using the indicators: GDP Per Capita measured in current US Dollars, Capital Stock, Foreign Domestic Investment Stock, Democracy Score Index, Labor Productivity (Output Per Man Hour), Life Expectancy, Program for International Student Assessment (Cognitive Skill Measurement), Secondary School Attainment, Technological Exports (in Current US Dollars) and Openness to Trade (Imports+ Exports/GDP per capita)

• Utilized Microsoft Excel to organize, sort, filter and collect data, and create a correlation table Utilized PcGive Ox metrics to run Multivariate Ordinary Least Squares regression analysis for the empirical aspect of the dissertation.

• Independent and dependent variables were analyzed at a 5% significance level, using the Fixed Effects model

• Analyzed and reported scholarly journals and articles, created data visualizations and presented findings

• Completed dissertation and accepted with high honors and accredited to my bachelor’s degree in economics

Political Researcher - Inequality, Ethics and the American Financial Crisis

(Mini-Dissertation): University of Durham UK (October 2014-May 2015) 20hrs/wk.

Title: The Benefits of Healthcare and the Potentially Harmful Effects of Medical Care to a Developed Nation: Education, Democracy and the American Financial Crisis of 2007-2008 Supervisor: Dr. Pietro Maffetone Lecturer in Global Politics and Ethics in the School of Government and International Affairs

• Political Researcher: the ethical and political connections between the U.S government’s response

(astronomical financial deregulation, permitted predatory lending, and massive credit accumulation) to national income disparities during 1970-2006 (increasing unemployment and wage stagnation), the dynamic of the U.S democratic structure, national secondary educational investment, labor productivity stagnation (1970-2006) and the American financial crisis in 2007.

• Compiled and critically examined quantitative and qualitative data obtained from scholarly journals, newspaper articles, opinion editorial journals

Presented results and political recommendations in a mini-dissertation Findings contributed to a professor conducted university research project Student Researcher- University of Michigan Undergraduate Research Opportunity Program, Ann Arbor, MI (October 2012-April 2013) 20hrs/wk.

• International political researcher for China in Africa (China in Kenya) research project led by Dr. Omolade Adunbi, Professor, University of Michigan Department of African and African American Studies.

• Compiled and critically examined quantitative and qualitative data obtained from scholarly journals, newspaper articles, opinion editorial journals

• Provided bi-weekly analyses and reports surrounding the impact of Chinese political and economic resource investments on Kenya’s government institutions and citizen population

• Presented Findings, provided theoretical recommendations and addressed all questions regarding the topic in the 2013 University of Michigan Undergraduate Research Symposium to the University of Michigan academic officials and the general public/ attendance of 1,000+

• Contributed to the Professor’s international research project

(cell): +1-313-***-**** •email: ********.*****@*****.*** Angelice R. Floyd

Awards and Accomplishments

2012-2013 Student Researcher for the University of Michigan (Ann Arbor) Undergraduate Research Opportunity Program, First Place 2012 Detroit Barrister’s Association Legal Writing Competition, 2012 Michigan’s Best and Brightest Award -World Studies presented by the Detroit News, Recipient of the 2011 Detroit Rotary Club Youth Citizen of the Month Award,2010 Michigan Youth Leadership Conference scholar and trainee, Class of 2012 Salutatorian of Cass Technical High School, 2012 Community Service Award presented by the Detroit Writers’ Guild, 3rd Pace : Lean Six Sigma Global Competition: COVID-19 Health Industry, 2021 USPS Vice President’s award for work performance. 2024 Director’s Award for Excellence

Education

University Credit

First Year

Undergraduate Degree

(30 June 2016)

Pre-requisite University Credit

(May 2020-May 2022)

Master’s Degree in Statistics

(August 2022- August 2024)

Undergraduate: International

Law and Modern Dance

Undergraduate: Literature

Science and Arts

Undergraduate: Economics and

Politics

Undergraduate Precalculus I, II,

Calculus I, Calculus II, Calculus

III, Linear Algebra

Statistical Theory and Methods

I,II, III, Applied Statistics I,II,

Statistical programming I,

Modelling and Programming in

Python, Modeling and

Programming in R, Applied Time

Series, Statistical Practice

Harvard University, Cambridge, MA

University of Michigan, Ann Arbor,

MI

Durham University, Durham, United

Kingdom

Prince George’s Community College

North Carolina State University

References and Writing Samples available upon request

Contact this candidate