Emmanuel Cocom

Software Engineer at STARLIMS
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Contact Information
Location
Lynwood, California, United States, US
Languages
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency
  • Japanese Elementary proficiency

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Credentials

  • Python OOP : Four Pillars of OOP in Python 3 for Beginners
    Udemy
    Sep, 2018
    - Sep, 2024
  • Automate the Boring Stuff with Python Programming
    Udemy
    Aug, 2018
    - Sep, 2024
  • Build a Crypto Currency News Site With Python and Django
    Udemy
    Aug, 2018
    - Sep, 2024
  • Django 2 and Python
    Udemy
    Aug, 2018
    - Sep, 2024
  • Python Essential Training
    Lynda.com
    Jun, 2018
    - Sep, 2024
  • The Python Mega Course: Build 10 Real World Applications
    Udemy
    May, 2018
    - Sep, 2024
  • Python and Django Full Stack Web Developer Bootcamp
    Udemy
    May, 2018
    - Sep, 2024
  • Statistics for Business Analytics A-Z™
    Udemy
    May, 2018
    - Sep, 2024
  • The Ultimate Tkinter Course: GUI for Python projects
    Udemy
    May, 2017
    - Sep, 2024

Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Software Engineer
      • Oct 2022 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Teacher Assistant
      • Jan 2020 - Dec 2021

      Assisted over 300 students in reviewing class material and completion of class project both virtually through zoom and in person. A large majority of issues were resolved saving time for my boss. Common sources and topics of confusion were brought up to Professor allowing him an opportunity to further clarify on such issues and topics.Graded Homework problems along side another Teacher Assistant and inserted to university class page. Student had easy access to graded assignments with commentary and professor had analytical data on class homework completion and grades.Communicated complex technical information and topics to students of various levels of understanding. Show less

    • Artificial Intelligence and Data Science Research Lab Assistant
      • Sep 2019 - Dec 2021

      Collected raw historical and current sensor data along side high resolution satellite images to be fed to machine learning models. Performed data analysis and preprocessing techniques on collected data using python, pandas, sklearn, and numpy. Invalid values were detected/corrected/removed. Data was accessible to team machine learning models for testing and development. Valuable time was saved for team members. Assisted in the creation, testing, modification, and general development and documentation of very advance and novel machine learning models that forecast air quality in Los Angeles County. Promising results were achieved and several publications were made.Had weekly meetings with supervisor and research members. Gave feedback and implemented suggestions by colleagues. Show less

Education

  • California State University, Los Angeles
    Bachelor’s Degree, Computer Science
    2018 - 2022

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