Data Analyst

JEFFREY WADE JOHNSON: Data Analyst

**************@*****.*** - Austin, TX - 817-***-****

linkedin.com/in/jwadejohnson00 - github.com/garfjohnson SUMMARY

Highly self-motivated data analyst with proven productivity working from home with a wide range of technical ability among statistical analysis, data cleaning, machine learning and data visualization. TECHNICAL EXPERIENCE

Data Analyst Contractor

Mar 2020 - Present

Statistical Analysis Project for Birkman International:

● Created customized demographics based on survey data

● Cleaned large datasets wrought with bogus values and inconsistencies

● Interpreted the data to find actionable insights

● Applied statistical techniques to verify results

● Visualized results beautifully

Thinkful Data Science Apprenticeship

May 2019 - Mar 2020

● Paired with a senior data scientist mentor to learn industry best practices and modern data science standards

● Developed and presented projects involving predictive analytics, exploratory data analysis, data cleaning, machine learning, statistical modeling, study design, statistics and probability TECHNICAL SKILLS

● Python:scikit-learn, Pandas, NumPy, StatsModels, SQLAlchemy

● CRM: Salesforce.com

● Data Visualization: Tableau, Seaborn, Matplotlib, Plotly

● Machine Learning:Naive Bayes, KNN, SVM, Random Forest, Neural Networks, Clustering, Deep Learning, TensorFlow

● Statistics: Linear & Logistic Regression, Hypothesis Testing, Predictive Analytics

● SQL:PostgreSQL

● Bilingual: Spanish & English

MACHINE LEARNING PROJECTS

NBA Betting Model github.com/garfjohnson/Nba-Sports-Betting-Model/blob/master/NBAapr20.ipynb

● Predicted 66% accuracy of NBA game winners when scored using k fold cross validation

● Returned 14x increase on investment over the 2019-20 NBA season

● Visualized the data beautifully using Tableau

● Cross-tested Naive Bayes, Random Forest, Multi-layer Perceptron, and TensorFlow models

● Transformed over 80 features to be a rolling average of previous X games for each team’s performance over the season

Texas Demographic Segmentation github.com/garfjohnson/TexasDemoClustering

● Used Census data to segment the Texas population using k means clustering

● Found optimal k value using the elbow graph method EDUCATION

Oklahoma State University

Bachelor’s Degree - Spanish Literature Minor: Economics

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