Data Python

David Storey

*****.*******.******@*****.*** • 734-***-**** • 3600 Observatory Lane, Holt, MI 48842 • https://github.com/enigmaticlogic/ Objective: To seek a position that utilizes my skills and promotes growth Summary of

Qualifications:

• Mathematics and statistics background

• Experience with advanced ML algorithms, data wrangling, and data visualization

• Flexible and able to work under pressure with little supervision

• Ability to prioritize multiple tasks/projects

• Dedicated, conscientious, highly motivated and reliable worker

• Self-starter, detail-oriented, data driven, and quick learner

• Strong communication and analytics skills

Education: Michigan State University East Lansing, MI Expected Graduation: 05/01/2020

MS in Mathematics

Cumulative GPA of 3.83

Specialized in: Machine Learning, Data Visualization, Topological Data Analysis Relevant courses: Machine Learning in Python (3 semesters), Data Visualization University of Michigan Dearborn, MI

Graduated 2016 with high distinction, BA in Mathematics Received Honors Scholar award in Mathematics, given to only one student each semester Average GPA of 3.75

Relevant courses: Statistics, Probability, Linear Algebra, Multivariate Calculus, Stochastic Processes Projects

• Code and relevant papers on Github

• Assisted with data pre-processing and coding of algorithms for a research project in network fairness – Spring 2020

• Reproduced the results of several machine learning research papers which involved feature extraction, feature generation via mathematical techniques including graph theory and kernel methods, and the implementation and training of RF, GBT, and CNN models for supervised regression tasks – Summer 2019

• Using only standard libraries such as Numpy, coded CNN, ANN, Random Forest, Decision Tree, SVM, KNN, logistic regression, and linear regression in Python from scratch – Fall 2018 Professional

Experience:

08/2017-Present Graduate Teaching Assistant

Michigan State University

Instructor of record for College Algebra, Business Calculus, and Quantitative Literacy Resolved student conflicts, facilitated group work, managed two ULA’s and helped students individually in office hours

Successfully advocated for and helped implement changes to the algebra course Mentored undergraduate research program

09/2014 - 05/2017 Mathematics Tutor

University of Michigan

Assisted students in mathematics and statistics, proctored exams, and collected customer data Analytical Skills:

Proficient in higher level mathematics including Multivariable Calculus, Linear Algebra, Topology, Machine Learning, Probability, and Statistics

Programming Skills:

Experienced in using Python libraries such as Keras, Scikit-Learn, Numpy, Pandas, Matplotlib, and Bokeh for machine learning and data visualization projects Received certification of completion for UC Davis’ SQL for Data Science course which covered topics including joins, subqueries, aggregate functions, and ER diagrams Familiarity with Tableau, scripting, and R

Data Skills:

Pre-processing, cleaning, feature extraction, normalization, and visualization Other Skills:

Tableau, Github, Sublime Text, Microsoft Excel, command line, parallel computing via HPCC, Windows, Linux

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