Elena Paul

SWEMatch Committee at Society of Women Engineers
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Contact Information
us****@****om
(386) 825-5501
Location
Dallas-Fort Worth Metroplex
Languages
  • English Native or bilingual proficiency
  • Malayalam Native or bilingual proficiency

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Credentials

  • Machine Learning with Python: Foundations
    LinkedIn
    Jan, 2023
    - Sep, 2024
  • Machine Learning with Python: k-Means Clustering
    LinkedIn
    Jan, 2023
    - Sep, 2024
  • AWS Certified Cloud Practitioner
    Amazon Web Services (AWS)
    Jul, 2023
    - Sep, 2024

Experience

  • Society of Women Engineers
    • Non-profit Organizations
    • 300 - 400 Employee
    • SWEMatch Committee
      • Jul 2023 - Present

      Assisted in organizing the application process and program timeline for SWE Match (multi-disciplinary engineering program) in a team of 3 by reviewing 70+ applications, interviewing candidates, and selecting participants. Collaborated with other student leaders to host technical workshops on relevant engineering and computer science skills. Assisted in organizing the application process and program timeline for SWE Match (multi-disciplinary engineering program) in a team of 3 by reviewing 70+ applications, interviewing candidates, and selecting participants. Collaborated with other student leaders to host technical workshops on relevant engineering and computer science skills.

  • The University of Texas at Dallas
    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Program
      • Jan 2023 - May 2023

      Explored the problem of DDoS as a Smokescreen (the use of Distributed Denial-of-Service attacks as a diversion during another cyberattack) as part of Dr. Brian Ricks’ research group. Learned foundational machine learning concepts and how unsupervised learning algorithms are used for anomaly detection. Explored the problem of DDoS as a Smokescreen (the use of Distributed Denial-of-Service attacks as a diversion during another cyberattack) as part of Dr. Brian Ricks’ research group. Learned foundational machine learning concepts and how unsupervised learning algorithms are used for anomaly detection.

Education

  • The University of Texas at Dallas
    Bachelor of Science - BS, Computer Science
    2022 - 2026
  • Allen High School
    2021 - 2022
  • Reedy High School
    2020 - 2021

Community

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