Education

Virginia Tech (Blacksburg, VA), **** - 2018

Bachelor of Science in Computational Modeling & Data Analytics, December 2018

● GPA: 3.50 (3.66 in-major)

● Minors: Computer Science, Green Engineering

Highlight of Skills

● R, Python

● SQL database management

● AWS EC2, S3; boto3 (Python)

● Apache Spark, PySpark

● Data wrangling/cleaning

● Automated BI reporting

● Data visualization (high-D)

● Linear & multiple regression

● Confidence & prediction intervals

● Enterprise Resource Planning

● Machine learning

● Flask web development

● Parallel computing

● Pivot tables

Experience

Data Engineer, Sep 2019 – Mar 2020

Virginia Tech, Office of Analytics & Institutional Effectiveness (Blacksburg, VA): Office within Virginia Tech providing data insight throughout the university, and handles government reporting

● Worked with a group to recreate and improve the backend of the data pipeline for our web applications.

● Converted SAS scripts into Python scripts utilizing Apache Spark to improve efficiency.

Cloud Operation Analyst, Jan 2019 – Aug 2019

SAP NS2 (Herndon, VA): SAP subsidiary providing software solutions to entities of the United States government

● Wrote and maintained scripts to automate data pipelines and streamline the analytics of cloud assets

● Utilized AWS, Azure, Akamai, and CloudCheckr APIs to pull various data

● Created dashboards for executive, financial, and operation management audiences

Data Science Engineer I (Intern), Jun 2018 – Aug 2018

Altamira Technologies (McLean, VA): Technology company offering end-to-end analytic and engineering solutions

● Wrote Python scripts to populate a MySQL database and modified schema to better match design intent.

● Performed data decomposition and normalization to extract and engineer features.

● Applied machine learning algorithm, Random Forest, to train models and detect malicious cyber content.

Data Analyst Intern, Jun 2017 – Aug 2017

Darn Tough (Northfield, VT): Hosiery company manufacturing high-quality socks with lifetime warranties

● Analyzed production data for patterns that could predict poor knitting performance and test hypotheses

● Wrote backend framework to sync reports with database; outlined the front end with an interactive UI

● Predictive analytics of warranty data and sales projections, which aided managerial decision making

Additional Qualifications

● Applied statistical theory (e.g. linear and multiple regression, probability, hypothesis testing and ANOVA)

● Languages: Python (4 years); Matlab (3 years); SQL, Java, R/R markdown, C (2 years); HTML, C++, Android (1 year); JavaScript, CSS (< 1 year)

● Windows, Mac, Linux, AWS (EC2, S3), Git, Atlassian Agile Processes (Jira/Confluence/BitBucket), Microsoft Office, Business Intelligence (BI) reporting, IQMS (ERP system)

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