Calvin Whealton - Data Scientist

Calvin Whealton

Data Scientist

Lusby, Maryland, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Calvin Whealton is a data scientist with 11 years of experience applying advanced machine learning, NLP, and both frequentist and Bayesian statistics to real-world problems across aircraft maintenance, natural hazards, and sustainable energy. With a Ph.D. in Environmental and Water Resources Systems Engineering and postdoctoral experience in Switzerland, he blends rigorous academic methods with practical stakeholder-facing communication and visualization skills. He has worked in multidisciplinary teams—geologists to hydraulic modelers—and routinely analyzes spatial and time-series data to inform decision-making. In industry roles at Booz Allen, Peraton, and now the US Navy, he has translated complex analyses into actionable insights for diverse audiences. An active open-source contributor, he significantly improved sampling and distribution handling in the well-regarded SALib sensitivity analysis library, reflecting a knack for robust, reusable scientific code. Based in Lusby, Maryland, he pairs domain depth in hazards and energy with a coder’s mindset summarized succinctly on GitHub: My Code = My Thoughts.

11 years of coding experience

3 years of employment as a software developer

Fellow, Summer Cohort 2020, Fellow, Summer Cohort 2020 at The Data Incubator

Doctor of Philosophy (Ph.D.), Environmental and Water Resources Systems Engineering, Doctor of Philosophy (Ph.D.), Environmental and Water Resources Systems Engineering at Cornell University

BSCE, Civil Engineering, Minors: Mathematics, Economics, BSCE, Civil Engineering, Minors: Mathematics, Economics at Old Dominion University

English, German

Stackoverflow

Stats

1,329reputation

67kreached

53answers

1question

Github Skills (12)

uncertainty-quantification10

python10

numpy10

distributions9

statistic9

stat9

scipy9

data-analysis8

graph6

plot6

optimization6

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

SALib/SALib

Jan 2016 - Feb 2016

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

Role in this project:

Back-end Developer / Data Scientist

Contributions:10 commits, 1 PR, 7 comments in 7 days

Contributions summary:Calvin contributed significantly to the `SALib` library, focusing on adding and modifying sampling methods for sensitivity analysis. They implemented functionalities for group-based sampling, incorporating new parameters and conditional logic to handle different sampling scenarios. Their work involved converting 0-to-1 variables from the Saltelli function into other distributions, including uniform, triangular, normal, and log-normal distributions. Furthermore, they refactored the code to utilize the problem dictionary more effectively, improving code organization and flexibility.

sensitivity-analysis-libraryjossmorrispythonsensitivity-analysis

calvinwhealton/ParetoFrontMovie

Feb 2016 - Mar 2020

Contributions:32 commits, 23 pushes, 1 branch in 4 years 1 month

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