Mauricio Rivas

Payload and Propulsion Sub-Team Member at GW Rocket Team
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US
Languages
  • English Native or bilingual proficiency
  • Spanish Native or bilingual proficiency

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Faith B.

I am delighted to provide my utmost recommendation for Mauricio Rivas based on his outstanding performance as a student in my Database Management course. Mauricio consistently demonstrated an exceptional understanding of the subject matter, showcasing both strong theoretical knowledge and practical application skills. His ability to design and implement complex database systems, coupled with his sharp problem-solving capabilities, truly outstanding. Mauricio's unwavering commitment to excellence and his continuous pursuit of knowledge make him a highly promising candidate in the field of database management. I have no doubt that he will thrive and contribute significantly in his future endeavors.

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Credentials

  • Introduction to Aerospace Engineering: Astronautics and Human Spaceflight
    Massachusetts Institute of Technology
    Apr, 2023
    - Oct, 2024
  • Introduction to Mathematical Thinking
    Stanford University
    Jan, 2023
    - Oct, 2024
  • Software Engineering Virtual Experience on Forage
    Goldman Sachs
    Dec, 2022
    - Oct, 2024
  • Paragon One Outstanding Completion Certificate
    Paragon One
    Nov, 2022
    - Oct, 2024

Experience

    • United States
    • Defense & Space
    • 1 - 100 Employee
    • Payload and Propulsion Sub-Team Member
      • Aug 2023 - Present

      Project CERBERUS • Designing and constructing the team's payload using Python, emphasizing the integration of advanced electronics. Skillfully incorporating both Arduino and Raspberry Pi platforms to optimize functionality and performance. • Collaborating on projects, contributing to design sessions, and playing a key role in pioneering significant advancements in the propulsion system, resulting in improved efficiency and performance benchmarks. Project CERBERUS • Designing and constructing the team's payload using Python, emphasizing the integration of advanced electronics. Skillfully incorporating both Arduino and Raspberry Pi platforms to optimize functionality and performance. • Collaborating on projects, contributing to design sessions, and playing a key role in pioneering significant advancements in the propulsion system, resulting in improved efficiency and performance benchmarks.

    • Professional Services
    • 700 & Above Employee
    • PwC Extern
      • Sep 2022 - Nov 2022

      • Proposed two impact measurement models through an online presentation in order to improve company impact reporting strategy. • Awarded Outstanding Completion by having delivered eight case studies which resulted in the creation of high-quality impact reports. • Selected among 35 students to do a final presentation to PwC and LEAF associates being representation of cohort. • Proposed two impact measurement models through an online presentation in order to improve company impact reporting strategy. • Awarded Outstanding Completion by having delivered eight case studies which resulted in the creation of high-quality impact reports. • Selected among 35 students to do a final presentation to PwC and LEAF associates being representation of cohort.

Education

  • The George Washington University
    Bachelor's degree, B.S. Information Systems, Minor in Computer Science
    2023 - 2025
  • Harvard University
    Course, CS50's Introduction to Computer Science
    2023 - 2023

Community

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