SUMMARY

Six years of experience analyzing, visualizing, and data storytelling. 5+ of experience as an educator. 4+ years of statistical analysis in R. 2+ years of experience coding in JavaScript. 1+ years of experience in Python, SQL, PySpark, Time-series analysis, and Machine Learning techniques.

PROJECTS

North Carolina Rainfall 50-year Projection

To provide a forecast of rainfall amounts for the next 50 years. This forecast could potentially be used to influence decisions in agriculture, government water regulations, and government resource management. This project used several tools including: python, Time-series analysis, Seasonal Decomposition, Correlation, and Auto-correlation. A report and corresponding code of findings with a raster map of North Carolina projected annual rainfall for the next 5 years (2020 - 2024) the intensity of projected rainfall varies by color. I provided 95% confidence intervals for the subsequent 45 years (2025-2069).

How Healthy is Your City? The Healthiest and Unhealthiest Cities in America

This project investigated the data provided by the 500 cities dataset, to compare the health levels of 500 select cities in the United States. The data was gathered from City Health Dashboard and was used to rank cities in terms of positive and negative health metrics in each city. This resulted in finding the healthiest and unhealthiest cities in America, and can be used by municipalities or health officials to determine what other cities that are similar to them are doing in terms of certain metrics, and how they might be able to put certain programs in place to increase their rank.

Portfolio of Projects

SQL, JSON, Clustering, Classification, Linear Regression, PySpark, and Logistic Regression

SKILLS

DATA SCIENCE: Machine Learning, Data Visualization, Statistical Programming, Data Analysis, Data Wrangling, Data Mining, Data Storytelling, Information Management, Data Extraction, Data Transformation, SQL, MySQL

CODING LANGUAGES: Python, Javascript, R, Lua

PACKAGES: Pandas, Scikit-learn, Matplotlib, Numpy

STATISTICS & MACHINE LEARNING TECHNIQUES: Bayesian Inference, Frequentist Inference, Bootstrap Inference, A/B Testing, Linear Regression, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Random Forest Regressor, Support Vector Machine, Naiive Bayesian, SARIMA, Time-series Analysis, Correlation, Supervised Learning, Unsupervised Learning, Social Network Analysis, Seasonal Decomposition, Clustering, Deep Learning, K-Nearest Neighbors, Cross-Validation

SOFTWARE: Microsoft Office Suite, Microsoft Excel, Microsoft Word, Microsoft Powerpoint, Jupyter Notebook, Spark, JWatcher, Raven Pro, ArcGIS

SOFTWARE ENGINEERING: Debugging, Tidy Code, Zen Python, Git

GENERAL: Effective Communication, Problem Solve, Teamwork, Adaptability, Creativity, Decision Making, Leadership, Self-motivation, Critical Thinking, Determination, High level of accuracy

EMPLOYMENT

Wake Forest Charter Academy Oct. 2018 to Current

5th Grade Science Teacher · Wake Forest, NC

Educated students on ecosystems, cells, heredity, the human body, weather, water cycle, force, motion, acceleration, gravity, heat, and convection.

Library Technology Specialist · Wake Forest, NC

Taught over 60 students courses on Python, javascript, robotics, app building, and animation.

Springboard Data Science Bootcamp Apr. 2019 to Jan. 2020

Student – Raleigh, NC

550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Code Ninjas - Wake Forest Nov. 2018 to Apr. 2020

Code Mentor · Wake Forest, NC

Mentor students in a variety to code games using several different coding languages including Javascript, Python, and Lua.

Texas Tech University Aug. 2016 to May 2018

Graduate Teaching Assistant · Lubbock, TX

Taught 3 classes (Intro to Biology, Ornithology and Ecology)

Created Lesson plans, graded papers, and worked with students one-on-one

Masters Thesis Student · Lubbock, TX

All data gathered was analyzed using R statistical programming software. Completed data analysis, data visualization, and presentation.

This research was presented at the local, regional and national level conferences. I received 2 awards for the best presentation at the local level and at the national level. Project consisted of 3 field experiments (Whisper calls and their influence on settlement, Whisper call structure, and Whisper call response and proportion to other calls) Product: Master’s Thesis

EDUCATION

Springboard – Data Science Certificate 2019

550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Texas Tech University - M.S. Biology 2018

Master's Thesis: The Effects of Whisper Calls on the Settlement Decisions of Female Veeries (Catharus fuscescens)

University of North Carolina Wilmington - B.S. Biology, B.A. Psychology 2016

Contact this candidate