Daniel Kim
Data Scientist at Metis- Claim this Profile
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Bio
Experience
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Metis
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United States
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Higher Education
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1 - 100 Employee
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Data Scientist
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Sep 2019 - Dec 2019
• 12 week data science bootcamp that focuses on tackling real world-projects including: Survival Analysis and Classification on Turbofan Engine • Developed model to predict probability of failure on turbofan engine for given cycles. • Classification model to determine engines near failure to make meaningful contributions in a business setting. NLP and Topic Analysis of Data Science Job Descriptions • Webscraped job title, salary, company, rating, and job descriptions… Show more • 12 week data science bootcamp that focuses on tackling real world-projects including: Survival Analysis and Classification on Turbofan Engine • Developed model to predict probability of failure on turbofan engine for given cycles. • Classification model to determine engines near failure to make meaningful contributions in a business setting. NLP and Topic Analysis of Data Science Job Descriptions • Webscraped job title, salary, company, rating, and job descriptions using Selenium package. • Developed topic modeling algorithm and analyzed current job market status for selected topics. Wine Quality Classier • Utilized Random Forest classification model to predict good and bad wines. • Built a Flask-Web-App to predict wine quality for relevant features. University of Michigan Football Margin of Victory Estimator • Webscraped statistic tables using BeautifulSoup package. • Developed regression model to predict margin of victory for the rest of 2019 University of Michigan football season. Show less • 12 week data science bootcamp that focuses on tackling real world-projects including: Survival Analysis and Classification on Turbofan Engine • Developed model to predict probability of failure on turbofan engine for given cycles. • Classification model to determine engines near failure to make meaningful contributions in a business setting. NLP and Topic Analysis of Data Science Job Descriptions • Webscraped job title, salary, company, rating, and job descriptions… Show more • 12 week data science bootcamp that focuses on tackling real world-projects including: Survival Analysis and Classification on Turbofan Engine • Developed model to predict probability of failure on turbofan engine for given cycles. • Classification model to determine engines near failure to make meaningful contributions in a business setting. NLP and Topic Analysis of Data Science Job Descriptions • Webscraped job title, salary, company, rating, and job descriptions using Selenium package. • Developed topic modeling algorithm and analyzed current job market status for selected topics. Wine Quality Classier • Utilized Random Forest classification model to predict good and bad wines. • Built a Flask-Web-App to predict wine quality for relevant features. University of Michigan Football Margin of Victory Estimator • Webscraped statistic tables using BeautifulSoup package. • Developed regression model to predict margin of victory for the rest of 2019 University of Michigan football season. Show less
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Purdue University
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Jan 2015 - May 2018
- Constructed a laboratory horizontal zone refiner, which can be used to purify low melting temperature materials. - Design experiments to study segregation behavior of various impurities in gallium. - Developed procedures to avoid contaminations during loading and extracting material processes. - Purified gallium in ultra-high purity level(ppb)and developed methods to calculate the purity.
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Graduate Teaching Assistant
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2013 - 2017
- Demonstrate a variety of processing techniques for metals and to identify the changes in microstructure and properties they cause. - Guide to use material characterization instruments such as microscopes, X-ray diffractometry, etc. - Held offices hours to answer questions and proofread lab reports to provide feedback.
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Research Assistant
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Aug 2012 - Dec 2014
- Develop a commercially viable coating of iron powders for press-and-sinter processing using alumina-modified colloidal silica (LUDOX CL). - Design various processing routes for coatings that can be used in higher firing temperatures to anneal out magnetic defects, while maintaining high electrical resistivity (∼10,000 μΩ-cm) and high iron density (>90 %).
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University of Michigan
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Apr 2010 - Apr 2011
• Processed metal oxide nanopowders using liquid-feed flame spray pyrolysis (LF-FSP). • Investigated methods to compare the processed BTO and commercialized BTO nanopowder • Developed and characterized flexible BTO and other polymer nanocomposite thin films such as C12A7, YSZ and Li based metal oxide.
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Graduate Student Instructor
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Sep 2009 - Dec 2010
- Grade homework and provide office hours to explain concepts and adjust questions. -Provide guidance on senior design projects.
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University of Michigan
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Jan 2008 - Jul 2008
• Investigated how weight fraction of cristobalite varies with time and temperature and how it affects to mechanical properties of fused silica. • Investigated how weight fraction of cristobalite varies with time and temperature and how it affects to mechanical properties of fused silica.
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Education
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Purdue University
Ph.D., Materials Engineering -
Purdue University
M.S., Materials Engineering -
University of Michigan
M.S., Materials Science and Engineering -
University of Michigan
B.S., Materials Science and Engineering