Mathew J. Ogle

**** ********* ****. ******, ** **082 • ac9vy6@r.postjobfree.com • 404-***-****

Recent graduate from the UGA Franklin College of Arts and Science in Statistics with a certificate in Applied Data Science. Experienced with inspecting, cleansing, transforming, and modeling data using R, SAS, and SQL. Hardworking, detail-oriented, and goal-driven, I am eager to widen my skill-sets and knowledge of data analysis and statistics with the goal of discovering useful information, informing conclusions and supporting decision-making.

EDUCATION

The University of Georgia, Franklin College of Arts and Sciences Athens, GA

Bachelor of Science, Major: Statistics

Certificate in Applied Data Science May 2019

Relevant Coursework: Statistical Programming • Nonparametric Statistics • Regression Analysis

• Data Science • Systems Programming • Software Development

Honors: Dean’s List, HOPE Scholar

RELEVANT EXPERIENCE

Greenhouse Light Intensity Statistical Analysis (STAT 5020) (August 2018 – May 2019)

Worked with UGA horticulture professor Dr. Marc van Iersel in evaluating the extent at which the number of days in a year with sufficient light intensity for greenhouse agriculture varies between years at different sites in the United States.

The dataset provides several measurements related to the solar radiation, barometric pressure and air mass. We are interested in the isolated PAR values at each site.

Using SAS, applied time series methods to the data, analyzing the mean monthly daily light integrals for each study site. Looking to discover seasonal trends and the presence of variability among years, seasonal decomposition methods was chosen for analysis. By creating a function which chose the best method depending on forecasting strength, forecasts were plotted for upcoming years.

Time series analysis indicates that PAR variation is seasonal but not subject to long-term increases or decreases. Historical PAR values can be reasonably used to estimate future levels, although climate change may alter patterns of cloud cover systematically in the long term.

IMDb Score Predictive Analysis (CSCI 3360)

Conducted regression analysis using various characteristics of movies in effort to create a model that effectively predicts IMDb score for a given movie

Stepwise regression performed using Python

Predictive Analysis on Routes to Class (STAT 4260)

Worked with team in identifying fastest routes to class

Assessed which variables are the most influential in determining walking time

Utilized JMP statistical program to conduct regression analysis in effort to create model that predicts walking time

WORK EXPERIENCE

Emory Hospital Advanced Parking Services

Valet

Park and deliver vehicles to patients arriving and leaving Emory hospital Atlanta, GA

May 2018-Aug 2018

TechoMarket LLC Athens, GA

Brand Ambassador Nov 2017-Feb 2018

Educate to individuals looking to start or grow their business sample methods of advanced analytics, web design, and social media marketing the TechoMarket offers

Cosmic Delivery Athens, GA

Delivery Driver/Dispatch Assistant Oct 2016–Dec 2017

Take orders over the phone, assign active drivers locations to pick up delivery orders, communicate to drivers which routes to avoid

Happy Feet Atlanta Roswell, GA

Assistant Director of Coaching May 2016–Aug 2016

Assist in the coordination and supervision of the soccer program and various teams

Develop and improve new coaches coming into the program so that players maximize their potential at all ages

Plan and supervise training sessions to develop general fitness and specific soccer skills

ADDITIONAL INFORMATION

Programming Languages: Java, C++, R, SAS, Python, SQL

Skills: Conversational Spanish/Portuguese, Photoshop, Excel, Wordpress

Interests: Soccer, Poker, NBA, Sports Analytics, Chess, SEO

Volunteer: Red Cross, Habitat for Humanity, Golden Harvest Food Bank, UGA Heroes

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