Skip to content
  • About
    • Mission
    • Volunteer
    • Covid Status
    • CPE Credit
    • Privacy Policy
  • Conference
    • Speakers
    • Schedule
    • Keynote Speakers
    • FloorPlan
  • Initiatives
    • Mentor/Mentee Program
    • Code of Conduct
    • Career & Resource Fair
  • Events
    • Villages
    • Contests
    • Career & Resource Fair
    • Hands on vLabs
  • Sponsors
    • Sponsors
    • Business Hall
    • Become a Sponsor
    • Code of Conduct
    • Previous
      • 2021 Speakers
      • 2021 Sponsors
      • 2022 Speakers
      • 2022 Sponsors
  • Shop
Menu
  • About
    • Mission
    • Volunteer
    • Covid Status
    • CPE Credit
    • Privacy Policy
  • Conference
    • Speakers
    • Schedule
    • Keynote Speakers
    • FloorPlan
  • Initiatives
    • Mentor/Mentee Program
    • Code of Conduct
    • Career & Resource Fair
  • Events
    • Villages
    • Contests
    • Career & Resource Fair
    • Hands on vLabs
  • Sponsors
    • Sponsors
    • Business Hall
    • Become a Sponsor
    • Code of Conduct
    • Previous
      • 2021 Speakers
      • 2021 Sponsors
      • 2022 Speakers
      • 2022 Sponsors
  • Shop
  • On Twitter
  • On Linkedin

Caroline Caldwell

Data Scientist, ExtraHop
  • Agent Nic: @CaroCaldwell
  • What City where you born?:
  • What is the name of your favorite pet?:
  • What is your mothers maiden name?:
  • What was the make of your first Car?:
  • What is your favorite color?:
  • What high school did you attend?:
  • Where did you meet your spouse?:
  • What was your high school mascot?:
Caroline Caldwell uses statistics and machine learning to clean up messy data and make predictions.

Caroline Caldwell has been writing algorithms to detect cybersecurity threats as a data scientist at ExtraHop since 2020. Before that she received her PhD in Astrophysics, where she combined massive hydrodynamic cosmological simulations and data from large observational surveys to constrain the mass of the neutrino. Caroline also contributed to NASA’s Kepler planet discovery program as an undergraduate at UT Austin.


Tech: Python, SQL, Pyspark/Scala, Cloud computing using GCS, Dataproc, Airflow, Plotly, Git
Stats: Random Forests, Gradient Boosted Trees, AB testing, Regression

Schedules:

Privacy  |  Disclaimer

© 2023 txciberdojo,inc  All Rights Reserved.