Daniel Parshall

Principal Data Scientist

Fort Myers, Florida, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Daniel Parshall is a Principal Data Scientist with 11 years of experience building production-grade ML systems that extract actionable insight from petabytes of endpoint and scientific data. He combines deep technical chops—from XGBoost, GANs and variational autoencoders to causal inference and differential privacy—with hands-on engineering of scalable data science infrastructure. Comfortable in customer-facing roles, he translates complex models into clear, decision-ready stories for product, sales, and executive stakeholders. His background as a physicist and instrument scientist gives him a rare expertise in wrangling very large, noisy experimental datasets and finding statistical leverage where others see only volume. At Lakeside he’s focused on “AI that speaks IT,” turning extremely high-frequency endpoint telemetry into operational visibility, and he’s driven open, impactful consulting work such as an open-source project for detecting familial links to combat fraud. Pragmatic and results-oriented, he consistently speeds onboarding, reduces operational cost, and delivers explainable, trustworthy analytics.
code11 years of coding experience
job8 years of employment as a software developer
bookMaster’s Degree Engineering Physics/Applied Physics, Master’s Degree Engineering Physics/Applied Physics at University of South Florida
bookDoctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Tennessee, Knoxville
languagesEnglish, German, Spanish
stackoverflow-logo

Stackoverflow

Stats
143reputation
15kreached
3answers
3questions
github-logo-circle

Github Skills (19)

python10
pandas10
manipulation10
data-science9
data-manipulation9
dataframes9
points9
data-analysis9
frame9
data-structures9
phonon8
simultaneous8
statsmodels6
curve-fitting6
data-fitting6

Programming languages (3)

Jupyter NotebookMATLABPython

Github contributions (5)

github-logo-circle
Fit phonon data from many Q-points, which come from the same reduced-q. By simultaneous fitting of many Brillouin Zones, good results can be achieved.
Contributions:64 commits, 11 PRs, 31 pushes in 10 months
zonesfitfittingphononsimultaneous
Contributions:9 pushes, 1 branch in 5 years 4 months
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
Daniel Parshall - Principal Data Scientist