Eldor Fozilov
Research Intern at Machine Learning and Finance Lab at Ulsan National Institute of Science and Technology- Claim this Profile
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English Professional working proficiency
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Russian Professional working proficiency
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Uzbek Native or bilingual proficiency
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Korean Limited working proficiency
Topline Score
Bio
Credentials
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Deep Learning Specialization
DeepLearning.AIAug, 2022- Oct, 2024 -
Statistical Learning
Stanford OnlineJul, 2022- Oct, 2024 -
Machine Learning
Stanford OnlineMar, 2022- Oct, 2024 -
The Git & Github Bootcamp
UdemyJan, 2022- Oct, 2024 -
Mathematics for Machine Learning Specialization
Imperial College LondonOct, 2021- Oct, 2024 -
Data Analysis in R (Part I)
Bioinformatics InstituteAug, 2021- Oct, 2024 -
Data Analysis in R (Part II)
Bioinformatics InstituteAug, 2021- Oct, 2024 -
Google Data Analytics Specialization Certificate
GoogleJul, 2021- Oct, 2024
Experience
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Ulsan National Institute of Science and Technology
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South Korea
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Research Services
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100 - 200 Employee
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Research Intern at Machine Learning and Finance Lab
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Aug 2022 - Present
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Ulsan National Institute of Science and Technology
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South Korea
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Research Services
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100 - 200 Employee
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Research Intern at Behavioral Finance and Asset Pricing Lab
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Dec 2021 - Feb 2022
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Ulsan National Institute of Science and Technology
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South Korea
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Research Services
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100 - 200 Employee
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Research Assistant at Uncertainty Lab, UNIST
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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.
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Education
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Ulsan National Institute of Science and Technology
Bachelor's degree, Track I: Finance & Accounting (Specialization: Quantitative Finance) | Track II: Computer Science