Carlos Eduardo Ortega

Recent graduate in Cognitive Science, with focus in Computer Science & Data Science, from UC Berkeley. Actively seeking opportunities in Software Engineering, Data Engineering, and Data Science.

General Info


Work Experience

  • 2020-Present

    UC Berkeley Division of Data Sciences

    Data Discovery Student Researcher

    Currently working under Professor Vivek Rudrapatna at UCSF. Researched the application of BERT models in medical applications (Aug '20 - Dec '20). Now working under student team developing language model pipeline to process IBD medical notes.

  • 2020-Present


    Bluebonnet Data Fellow

    Data fellow for Arizona LD-23 State Senate Campaign for Seth Blattman (June '20 - Nov '20). Data fellow for Florida U.S. Senate Campaign for Allen Ellison (Jan '21 - Present).

  • 2018-Present

    UC Berkeley Division of Data Sciences

    Peer Data Science Consultant

    The Peer Data Science Consulting team is dedicated to making data science more accessible to undergraduates by providing support for courses using data science methods with a lack in course staff and supporting undergraduates in their research.

  • Summer 2019

    U.S. Census Bureau

    Data Science Civic Digital Fellow

    Developed probabilistic frame-matching program using string matching algorithms to speed up process previously done manually. Developed web crawler and scraper in Python to automate the maintenance of publicsector collections to identify relevant pages and information. Joined as a Civic Digital Fellow, a program bringing in students to solve problems in federal agencies.

  • 2018-2019

    UC Berkeley Library

    Data Science Fellow

    Provide leadership and peer support in the data sciences to undergraduates conducting research in an area such as data visualization, machine learning, text analysis, regression modeling, or other data science methods.

  • 2017-2018

    UC Berkeley Statistics

    Foundations of Data Science Staff - Group Tutor

    Provide tutoring to small groups teaching programming fundamentals, data visualization, and statistical inference techniques, and held weekly office hours to assist students with ongoing coursework. Develop worksheets, lead review sessions and create videos on hypothesis testing, data visualization, and classification techniques.

  • Summer 2018

    International Computer Science Institute

    Student Assistant

    Helped develop programming exercises in JavaScript and Python to teach students about online privacy through projects on geolocation, HTTP cookies, and data aggregation.


  • Expected 2021

    B.A. Cognitive Science

    UC Berkeley

    • Coursework in Introduction to Artificial Intelligence, Statistical Methods for Data Science, Discrete Math, Linear Algebra, Introduction to Linguistic Science, Foundations of Data Science, Principles & Techniques of Data Science, Data Structures, and Structure & Interpretation of Computer Programs

Leadership & Volunteer Work

  • 2019-Present

    Towards Data Science

    Editorial Associate

    As an Editorial Associate, I review submissions, provide feedback to authors, and recommend pieces for publication.

  • 2018-2019


    Executive Director

    Managed an organization of over 100 members. As one of the two Executive Directors, I facilitated meetings with members, other student organizations and external companies. I managed big picture planning for the organization as well as provided oversight on the day-to-day operations. In addition to this, I managed tens of thousands of dollars, succesfully applied to grants and secured additional operational funding to scale the organization.

  • 2017-2018


    Director of Post-Production

    As the co-Director of Post-Production, I managed a team of 20 editors tasked with editing and uploading all videos for the organization. I developed teaching material to help editors gain additional skills and assisted the rest of the directors in expanding the organization.

  • Fall 2018

    Student Association for Applied Statistics

    Research & Publications Member

    As a member of the R&P Committee, I conducted independent research on the trends in the music charts in the U.S. over time. Applied sentiment analysis to the top 100 songs of each year from 1965-2015 to find trends in music across the decades. Worked with the Spotify API and Google's Cloud Natural Language API.

  • Spring 2017

    UC Berkeley EECS

    Foundations of Data Science - Academic Intern

    Assisted students with labs in CS C8 (also known as Data 8), an introductory course to Data Science.

Selected Work

Have Sad Bois Taken Over the Radio?

Python, Jupyter Notebooks

Spotify Anti-Playlist Generator

Python, Flask, HTML, CSS

More Soon

Check out my GitHub