Jim Zhu

Machine Learning Data Scientist at Eurofins Viracor
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • Mandarin Native or bilingual proficiency
  • Spanish Elementary proficiency
  • English Professional working proficiency

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Bio

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Experience

    • United States
    • Medical and Diagnostic Laboratories
    • 200 - 300 Employee
    • Machine Learning Data Scientist
      • Jun 2022 - Present

      1. Provide bioinformatics support for R&D projects requiring feature selection from omics data, application of supervised, unsupervised and deep learning methods to develop novel diagnostic tools. 2. Provide support and advice on machine learning model and data organization. 3. Create working pipeline on cloud through remote server with computer language including Python, Docker, CWL and Nextflow. 4. Improve efficiency of the pipeline and fix expected/unexpected error during operations.

  • UPCI Biobehavioral Medicine Program
    • Pittsburgh, Pennsylvania, United States
    • Research I Intern
      • Jan 2022 - May 2022

      1. Collect volunteer cancer patients' cell phone app data(AWARE), make data preprocessing and data cleaning. 2. Adding in new features using collected data. Tuning and making predictions, analysis using input features from preprocessed data. 1. Collect volunteer cancer patients' cell phone app data(AWARE), make data preprocessing and data cleaning. 2. Adding in new features using collected data. Tuning and making predictions, analysis using input features from preprocessed data.

    • Intern, Technology Research and Development Department
      • Jul 2017 - Sep 2017

      1. Involved in the program of intelligent community and supported the development of high definition video cloud service system 2. Collected and analyzed data of online users, then applied new data according to user’s preference 3. Applied JAVA and Python programming to assuring the safety factors based on resident information 4. Gathered statistical skills to figure out the physical condition of residents and made timely feedback on elderly residents’ state of health 5. Detected the compatibility of high definition videos on different network platforms Technologies used: RStudio, JAVA, Python

    • Intern, Network Management Department
      • Jul 2016 - Sep 2016

      1. Analyzed business and operational data to prepare for technical update 2. Gathered the information of population from satellite broadcast radio and television 3. Produced spreadsheets and histograms to complete the statistical analysis of signal coverage 4. Improved the signal coverage based on users’ feedback in terms of transportation, such as airplane, high-speed rail, and cruise ship 5. Adopted Python, R language and SAS functions to check data accuracy and dissect the service usage 6. Researched information to resolve code issues 7. Technologies used: RStudio, Python, SAS

Education

  • University of Pittsburgh
    Master's degree, Big Data Analytics Information and Science
    2020 - 2022
  • University of Pittsburgh
    Master's degree, Applied Statistics
    2019 - 2020
  • University of Washington
    Bachelor's degree, Mathematics
    2015 - 2019

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