Eldor Fozilov

Research Intern at Machine Learning and Finance Lab at Ulsan National Institute of Science and Technology
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Professional working proficiency
  • Russian Professional working proficiency
  • Uzbek Native or bilingual proficiency
  • Korean Limited working proficiency

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Credentials

  • Deep Learning Specialization
    DeepLearning.AI
    Aug, 2022
    - Oct, 2024
  • Statistical Learning
    Stanford Online
    Jul, 2022
    - Oct, 2024
  • Machine Learning
    Stanford Online
    Mar, 2022
    - Oct, 2024
  • The Git & Github Bootcamp
    Udemy
    Jan, 2022
    - Oct, 2024
  • Mathematics for Machine Learning Specialization
    Imperial College London
    Oct, 2021
    - Oct, 2024
  • Data Analysis in R (Part I)
    Bioinformatics Institute
    Aug, 2021
    - Oct, 2024
  • Data Analysis in R (Part II)
    Bioinformatics Institute
    Aug, 2021
    - Oct, 2024
  • Google Data Analytics Specialization Certificate
    Google
    Jul, 2021
    - Oct, 2024

Experience

    • South Korea
    • Research Services
    • 100 - 200 Employee
    • Research Intern at Machine Learning and Finance Lab
      • Aug 2022 - Present

    • South Korea
    • Research Services
    • 100 - 200 Employee
    • Research Intern at Behavioral Finance and Asset Pricing Lab
      • Dec 2021 - Feb 2022

    • South Korea
    • Research Services
    • 100 - 200 Employee
    • Research Assistant at Uncertainty Lab, UNIST
      • Jun 2021 - Aug 2021

      Research Project: Machine Learning Approach to FOMC Sentiment AnalysisMy main responsibilities were analyzing and interpreting FOMC statements recorded from the year 2000 to 2019, and also making sure that the labeled data is clean and without any structural errors, so that subsequent data analysis based on a supervised machine learning algorithm can be conducted without any issues. Research Project: Machine Learning Approach to FOMC Sentiment AnalysisMy main responsibilities were analyzing and interpreting FOMC statements recorded from the year 2000 to 2019, and also making sure that the labeled data is clean and without any structural errors, so that subsequent data analysis based on a supervised machine learning algorithm can be conducted without any issues.

Education

  • Ulsan National Institute of Science and Technology
    Bachelor's degree, Track I: Finance & Accounting (Specialization: Quantitative Finance) | Track II: Computer Science
    2019 - 2023

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