AWS, Python, R, Tableau

ISAAC HULSEY

************@*****.*** 225-***-**** 2021 Guadalupe St., Apartment

1105B, Austin, Texas 78705

RESUME OBJECTIVE:

Master’s level Economist with 4+ years of education experience specializing in problem solving with data- driven approaches that can be used to communicate results to stakeholders of differing levels of technical expertise. Passionate about synthesizing data with Economics to for leveraging strategies to optimize profits and utility in dynamic environments.

SKILLS

Python/R/STATA SQL

Handling Pressure

CAPSTONES

EDUCATION

M.A. ECONOMICS

University of Texas Austin,

Austin, TX / 2020

B.S. ECONOMICS

Louisiana State University,

Baton Rouge, LA / 2019

AWS ML SPECIALTY

CERTIFICATION

2020

USING FREQUENTIST AND BAYESIAN PREDICTION ON MLB DATA University of Texas at Austin / January 2020 – May 2020

• Extracting data from mlb.com using Beautiful Soup and cleansing the data to be usable in a Pandas data frame

• Deciphering which features are relevant using data analysis and various algorithms for feature selection

• Analyzing the strengths and weaknesses of Frequentist and Bayesian regressions for prediction

• Communicating findings using the markdown feature in Jupyter Notebooks USING BERT FOR MULTILINGUAL COMMENT SENTIMENT CLASSIFICATION Kaggle Data Science Competition / June 2020 – Present

• Transforming data to be usable for BERT

• Utilizing Tensforflow’s TPU strategy to maximize computational ability

• Leveraging transfer learning for better accuracy with HuggingFace

• Synthesizing all previous steps into a neural network for prediction of comment sentiment classification

AWS

Collaboration Problem Solving

linkedin.com/in/isaac-hulsey/

Communication

Spark Tableau

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