Table of Contents

1. Personal Projects
2. Education
3. Experience

---

Personal Projects

Web Development

• The Drink Almanac
• The Drink Almanac API

Data Science Projects

• Chicago Crime Analysis
• Employee Attrition Analysis
• Strike Prediction and Pitch Visualization with PITCHf/x Data
• Stock Price Prediction App
• Popular Machine Learning Algorithm Implementations

---

Education

Georgia Institute of Technology

Master of Science in Analytics

• January 2019 – December 2020
• GPA: 4.00/4.00
• Computational Data Analytics Track

University of Illinois at Urbana-Champaign

Bachelor of Science in Statistics and Minor in Computer Science

• August 2015 - December 2018
• GPA: 3.53/4.00
• Certificate in Data Science
• Dean’s List: Fall 2017, Fall 2018

---

EXPERIENCE

Expeditors International

Business Intelligence Developer

• June 2019- Present
• Designs and implements reliable, documented, and tested ETL pipelines using Python and Apache Airflow
• Automated over 1,000 hours of work/month through data-entry scripts, data pipelines, and Excel workflows
• Implemented a SQL Query Generator tool using Python that reduces the time to write SQL queries by 70-100%
• Summarized and presented quantitative data with Power BI dashboards to facilitate data-driven decision making
• Developed and optimized SQL queries to enable the operations departments to make data-driven decisions

SWC Technology Partners

Data Analyst Intern

• June 2018 - August 2018
• Trained a boosted decision tree model in Azure Machine Learning Studio to predict project estimate accuracy
• Identified actionable insights within the data using R to identify opportunities for project improvement
• Reconstructed queries using new graph database feature of SQL Server to shave run-time down by 20%

---

SKILLS

Backend:

• Python, Django, Flask, Flask-RESTX, JWT, SQLAlchemy, SQL, Postgres, Pandas, Pytest

Frontend

• JavaScript, Node.js, React.js, Axios, Bootstrap, HTML, CSS

Analytics:

• Python, Scikit-Learn, Keras, Pandas, Numpy, Machine Learning, Statistical Learning, Regression Analysis, Statistical Inference, Data Visualization, Data Preprocessing

Software:

• VS Code, Git, GitHub, Power BI, Relational Databases (DB2, Postgres)

Interpersonal:

• Consulting with clients, presenting findings to both technical and non-technical audiences, balancing multiple projects, analyzing problems and developing solutions

---

Page template forked from evanca