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Data Science, Data visualization, Collaborative, Machine Learning

Wilmington, NC
May 19, 2020

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Thomas Coleman

Master of Data Science Candidate

(910) 540 - 8865

**** ******* *****, **********, **, 28403

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Clean, analyze, and interpret longitudinal datasets, using high proficiency in Python, SQL, R, and SAS, to aid industries and form high accuracy predictive models. Combining my exceptional team skills and real-life collaborative projects, with my advanced analytical skills to maximize IBM’s success.


Master of Science, Data Science (3.958 GPA) – December 2020

University of North Carolina, Wilmington

Bachelor of Science, Mathematics – May 2019

University of North Carolina, Wilmington

Relevant Projects

Modeling US Counties of the 2012 - 2016 Presidential Election – Fall 2019

Built a predictive model utilizing salient demographic factors in all US counties to predict election

outcomes nationwide.

Using Principal Component Analysis (PCA) in SAS and SQL to create a predictive model for potential voting outcomes.

Image Classification (Ditylum) – Spring 2020

Comparing the accuracies and error rates of multiple machine learning algorithms including Logistic Regression, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP) to classify plankton images and pick the best preforming model.

Obtaining an accuracy score of 90% using K-Nearest Neighbor (KNN) classifier along with SKLearn and TensorFlow.

Stock Market Forecasting (Spring 2020)

Developed multiple functions and interactive visualizations (through plotly and matplotlib packages) to forecast current stock market data, using Linear Regression and SKLearn.

Technical Skills

Programming Languages: MatLab, Python, R, SAS

Software: Jupyter Hub, Microsoft Power BI, Pycharm, R Studio, SAS Studio, Spyder, Tableau

SKLearn, Natural Language Processing, Data Visualization (Matplotlib, Seaborn, Plotly) Packages in Python

Machine Learning with TensorFlow

SQL in Python and SAS

Personal Interests/Activities

Built multi-core PC with high processing power

Applying data science disciplines to various sports related questions

Participated in intramural athletics: Basketball, Soccer

Work Experience

Graduate Research Assistant, University of North Carolina Wilmington (Nov 2019 – Present)

Work with Dr. Jeeyae Choi in assisting with machine learning research on opioid addiction risk

Responsibilities include managing large datasets for analysis and data cleaning

Membership Service Manager, Holly Tree Racquet Club (Aug 2015 – Dec 2019)

Responsibilities included optimizing court scheduling, maintaining pristine court conditions, and

providing premier membership service

Sales And Accounting Intern, Tru Blu K9000 (May 2018 – Dec 2018)

Utilized market research to predict trends and adjust our business plan accordingly

Responsibilities: market research, warehouse management/coordination, sales marketing and business expansion

Required strong communication and organization skills to thrive in a fast changing environment of a start-up business

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