Kyle Thomas

Kyle Thomas

AVP, Quantitative Analyst

Bank of America

Biography

Kyle Thomas does data analytics for fun and data wrangling for work. He has an education in the Study of ReligionTM and work experience in finance and valuation. Kyle is a huge fan of R, visualization, and solving problems using analytics. He also finds it strange talking in the third person.

Kyle is also an expert in SEO: SQL, R, Python, Machine Learning, Aritifical Intelligence (AI), Java, C++, Models, Statistics, COBOL, FORTRAN, PostgreSQL, SAS, SPSS, Data Science, Databases, Analytics, Stata

Interests

  • R-Python-SQL Data Science Stack
  • R Education
  • Data Visualization
  • Sanskrit

Education

  • Masters of Analytics, 2022

    Georgia Tech

  • Masters of Theological Studies, 2012

    Harvard Divinity School

  • BA in Philosophy and Religion, 2009

    Furman University

Experience

 
 
 
 
 

AVP, Quantitative Analyst

Bank of America

Sep 2018 – Present Charlotte, NC

Leverage the R-Python-SQL stack to drive insights into customer value and marketing effectiveness.

Moderator of the R Learning Hive and Office Hours.

 
 
 
 
 

Research Associate

Harvard Business School

Sep 2013 – Aug 2018 Boston, MA
Worked with Professors Tatiana Sandino and Charles Wang in the Accounting and Management Department.

Recent Posts

TidyTuesday (22): Cocktails

Some brief EDA of the cocktails data; features Upset plot

Scraping Weather Data

A walkthrough for scraping weather data from Wikipedia using an R-Python workflow

Norms and Penalized Regression

Some notes on the math behind penalized regression methods liek Ridge and LASSO

Quick Guide to Command Line Basics

Before graphical user interfaces (GUI), drag and drop desktops, and voice activated assistances (e.g., Siri), the only way to interact with a computer was through written commands using the command line interface (CLI).

Getting WRDS CRSP Data

Wharton Research Data Services (WRDS) is the standard finance and accounting data source for academic research. WRDS is composed of many individual datasets provided by different vendors. The two most commonly used are Compustat (for accounting data) and CRSP (for stock data).

Publications

Quickly discover relevant content by filtering publications.

Air Products' Pursuit of Airgas

Covers equity valuation and corporate governance defenses during a hostile takeover bid; used in Business Analysis and Valuation course at Harvard Business School

Oxxo's Turf War Against Extra Video Supplement

New Constructs: Disrupting Fundamental Analysis with Robo-Analysts

Using machine-learning technology, New Constructs creates cleaned up financial statement data that removes accounting distortions. This powerful data aims to provide unparalleled insights into companies’ true economic picture; used in Business Analysis and Valuation course at Harvard Business School

Go Mobile: Aligning District Managers and Store Teams Video Supplement

I directed a film crew in India that documented a local cell phone retailer

Walgreens and Alliance Boots

Discussion of the financial, regulatory, and societal impacts of Walgreens’ propsed tax inversion after its merger with Alliance Boots

Recent & Upcoming Talks

Logistic Regression in R

ggplot Extensions

Changepoint Detection in R

Intro to Shiny Applications