Leonard Greski

Atlanta, Georgia, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

Leonard Greski is a technology and eCommerce executive with 11 years of experience driving profitable revenue growth through innovative product and service development. He blends strategic planning, agile/lean software practices, and M&A for technology capabilities to deliver high-impact, high-visibility programs across sell-side eCommerce and travel commerce. As Chief Scientist at LiminalArc he helps large enterprises increase economic value through product and software transformation, combining hands-on data science with executive-level strategy. Leonard’s background in business and solution architecture enables him to translate complex requirements into practical, scalable systems and services. He is an active contributor to educational data science projects—adding reproducible Random Forest examples and permutation tests to a Johns Hopkins Coursera companion repo—highlighting a commitment to rigorous, shareable analytics. Based in Atlanta, he pairs commercial focus with technical depth to turn transformation initiatives into measurable outcomes.

10 years of coding experience

Stackoverflow

Stats

10,685reputation

762kreached

509answers

0questions

Badges

top-1%

Github Skills (16)

machine-learning10

random-forest10

data-science10

r10

data-analysis10

statistical-models9

scopes9

github7

knitr6

xlsx6

shiny6

dplyr6

loops6

dataframe6

shinydashboard6

Programming languages (5)

JavaCSSRHTMLPython

Github contributions (5)

lgreski/datasciencectacontent

Oct 2015 - Sep 2022

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

Role in this project:

Data Scientist

Contributions:831 commits, 6 PRs, 780 pushes in 6 years 11 months

Contributions summary:Leonard contributed to the repository by adding various data science-related examples and code. They added an R script to support a caret article, including examples related to Random Forest models. They also added a permutation test example and code for extracting and averaging OOB error rates from a Random Forest model. Furthermore, the user added code to replicate a data analysis from an assignment and created a test script for makeCacheMatrix.

johns-hopkins-universitypythonsciencedata-science-specializationspecialization

lgreski/DataScienceSpecialization.github.io

Sep 2015 - Aug 2019

http://DataScienceSpecialization.github.io

Contributions:14 PRs, 35 pushes in 4 years

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial