Keegan Johnson

HR Data Scientist

Leidos | Nokia | Northrop Grumman

Biography

Keegan Johnson is an experienced data scientist with an extensive background in HR analytics, workforce talent management, and using statistics to improve organizational efficiency. Some of his recent HRA applications include enterprise skills cataloging, identifying ATS bottlenecks, and quantifying employee engagement from administered surveys. He splits his time between Houston, Texas and Budapest, Hungary.

Interests

HR & People Analytics
Sabermetrics

Education

MSc in Economic Research, 2015

University of North Texas
BSc in Economics, 2012

University of North Texas

Skills

Technical

R

Predictive Modelling

SQL

Hobbies

Baseball Analytics

Flying

Photography

Experience

HR Data Scientist

Catapult Learning

January 2022 – November 2023 Remote

Responsibilities:

Leading dashboard developing throughout HR
Identifying chokepoints in the ATS process
Implementing best practices throughout IT

HR Data Scientist

Leidos

April 2022 – April 2021 Remote

Responsibilities:

Developed enterprise skills cataloge with associate rules
Worked with senior management to create DEI targets

Accomplishes

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Recent Posts

Estimating OBP with Empirical Bayes

OBP for 2023 Season

Last updated on Dec 31, 2023 3 min read

Quick MLB-Story Classification Model

library(ggplot2) ## Warning: package 'ggplot2' was built under R version 4.2.3 # Change the point size, and shape ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point(size=2, shape=23)

Last updated on Dec 30, 2023 1 min read

Projects

Gallery

Featured Publications

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