Data Scientist/Analyst

Alexander Shumway

Data Scientist

Address: Fairfax, VA; Phone Number: 571-***-****; E-mail: ********@***.***

Education:

George Mason University Fairfax, Virginia

Bachelor of Science, Computational and Data Sciences, graduated Dec 2024

GPA 3.92: Pursuing M.S. in Computational Sciences, graduation Dec 2025

Relevant Classes: Computational Science Tools, Modeling and Simulation, Machine Learning, Data Visualization, Data Mining, Databases, Numerical Methods, Applied Statistics, Object Oriented Modeling

Dean’s List 2024-2025

Projects:

College Success Predictor

Uses a dataset of socio-economic factors of college students to predict student GPA and if they will drop out

This is done using a SVM to produce a model that classifies dropout status, and produces the GPA result using linear regression

The model had results of >90% accuracy when applied to a historical database of student socio-economic factors.

Breast Cancer Model

A model to classify estrogen receptor status that uses a clinical patient dataset to better analyze the chance of early onset breast cancer

A support vector machine and decision trees were used to make a classification model based of the dataset

The model had results of >95% accuracy when applied to a historical early onset cancer database.

Experience:

George Mason University Fairfax, Virginia

Support Center Analyst September 2023-Present

Analysis of call data to make recommendations for supervisor decisions

oMy analysis determined that of the ~100 daily calls, only ~3 were after 7pm and thus the expense of the normal staffing level was not justified. My recommended reduction resulted in an 8% budget savings.

Providing tech support over the phone, live chat, and walk-in desk

Client Communication, Team Problem-Solving, quick and efficient resolution of issues

Costello College of Business Classroom Support Agent May 2024-Present

Active classroom tech support during class

Enabling communication between the professor, online students, and in-person students

Computational and Data Sciences Teaching Assistant January 2024-Present

Used current knowledge of data science principles and problems to quickly and accurately grade student work.

Responsible for office hours and recitations

Quick and clear communication and assistance between myself, the students, and the professor

Skills:

Programming: Python (including Pandas, Numpy), Fortran, R, SQL, Julia, NetLogo, Java, Matlab, C++

oSupervised Learning: linear and logistic regressions, decision trees, support vector machines (SVM)

oUnsupervised Learning: k-means clustering, principal component analysis (PCA)

Data Cleaning, Exploratory Data Analysis(EDA)

Tools:

oIDEs: Visual Studio Code, Jupyter Notebooks, Google Colaboratory, Matlab, Android Studio

oData Handling/Visualization: Excel, Google Sheets, RStudio, MySQL, LaTeX

oVersion Control and Collaboration: GitHub

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