Data Scientist

Software Beginner Intermediate Advanced

R Python SQL Tableau

Git JavaScript Excel jQuery Node

React Word PowerPoint

Jupyter Notebook

Note: Currently Learning Spark & Unix

Soft Skills

Leadership, Flexibility, Communication, Multi-

tasking, Critical Thinking, Creative Thinking,

Problem Solving, Team-Player, Hard Work Ethic,

Self-Directing, Results-Oriented

Data Analytics Skills

Visualization, Wrangling, Cleaning, Statistical

Inference, Causality Identification, Experiment

Design, Hypothesis Testing, Research

Machine Learning Skills

Regression, Classification, Model Evaluation,

Cross-Validation, Model Parameter and

Hyperparameter Tuning, Model Selection and

Specification

Austin Turvey

OBJECTIVE

Passionate, driven, applied data scientist searching for an entry-level role in data science/analytics where I can apply my analytical, organizational, communication, and leadership skills to leverage data within a team to provide insights on business acumen. I am specializing in statistical inference and prediction utilizing Python, R, and statistical theory. Continuously learn new skills and techniques to become a more valuable resource for achieving goals and helping teams succeed. Data can tell many different stories but knowing why a certain story provides the most relevant answers is key to making the right decisions. EDUCATION

University of Oregon Master’s in Applied Economics Eugene, OR Expected Graduation June 2021

• Current GPA: 4.0

• Concentration in data analytics, econometrics, forecasting, and big data.

• Experiment Design / Causal Inference

• Classification and regression prediction using R University of Oregon Major in Economics Eugene, OR Graduated June 2020

• Final GPA: 4.13 / Summa Cum Laude / Departmental Honors

• Minor in Business Administration and Computer Information Technology.

• Concentration in data analytics and econometrics using R and Python.

• Completed Research Paper on Predicting Student Outcomes Using Gradient Boosting. EXPERIENCE

Data Science Intern Higher Logic June 2019 - September 2019

• Worked collaboratively with the data science team to develop an engagement benchmark store allowing for better performance monitoring of Higher Logic’s tenants.

• Communicated results to upper management and across departments, helping generate a shared understanding of the answers to data-driven questions, informing decision making.

• Utilized Python and helper libraries numPy, pandas, ggplot, and scikit learn to conduct exploratory analysis, feature importance, and both time series and multivariate predictions, helping create KPI.

• Conducted diagnostic analysis using the engagement benchmark score in order to assess the performance of Higher Logic’s tenants as well as prove the effectiveness of Higher Logic’s products.

• Researched and helped begin development on classification model for classifying users into various types according to engagement levels with platform. Crew Manager Von Klein Property Management June 2016 - September 2020

• Conducted continuous management of paint crews, maintaining knowledge of crew’s locations and what resources were needed to complete each job.

• Coordinated with other managers as well as upper management, sustaining constant communication on project timelines.

• Provided on the job training for new employees, teaching skills efficiently and effectively which increased productivity.

Libraries Beginner Intermediate Advanced R: Tidyverse Tidymodels dplyr ggplot

data.table Caret Keras

Python: Pandas matplotlib Numpy

Scikit Statsmodels Keras

Models Beginner Intermediate Advanced

Regression: Lasso EN Ridge Logit

Linear Ensemble: XGBoost Bagged

Trees Random Forest Non-Parametric:

KNN SVM Neural Networks

2192 Suntrek Drive, Eugene,

OR, 97403

541 - 514 - 0708

************@*****.***

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