Siming H.

Siming H.

Audit Analyst Intern

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location of Siming H.Basking Ridge, New Jersey, United States

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  • Timeline

  • About me

    Senior Data Analyst at M.S. Hall & Associates, LLC

  • Education

    • Binghamton University

      2017 - 2019
      Master's degree Mathematics and Applied Statistics
    • Tianjin University of Finance and Economics

      2013 - 2017
      Bachelor's degree Statistics

      Activities and Societies: Volleyball, Market Research Competition

  • Experience

    • Grant Thornton LLP

      Dec 2014 - Mar 2015
      Audit Analyst Intern

      • Analyzed data from database and information from company provided to make sure value consistent and audit procedure correctly• Negotiated with company and bank to submit bank confirmation and proved bank account correct • Supervised warehouse keeper to count inventory and fixed assets

    • PCTEL

      Jul 2015 - Oct 2015
      Product Analyst Intern

      • Worked closely with production line, scheduled resource planning and adjusted orders in terms of MRP • Cooperated with local suppliers, assisted sourcing department to realize JIT purchasing mode • Established and updated sourcing report to optimize process of purchasing

    • Tianjin University of Finance and Economics

      Mar 2016 - Jun 2016
      Market Research Analyst

      • Worked with community committee and designed questionnaire about satisfaction of pension system • Sampled 600 seniors from 5 communities, arranged 50+ students to communities and led team of 10 students to finish 100+ survey one day, helped seniors completed questionnaire and recorded data • Categorized data in Excel worksheets, broke down the data by variables to see what factors affected seniors’ attitude most, • Utilized Tableau creating interactive dashboard to visualize dataset more attractive and directly. Show less

    • Binghamton University

      Feb 2018 - Dec 2018

      • Cleaned dataset by handling missing value, making the dataset tidier, increasing correlation to 60% • Utilized R to build logistic regression model and machine learning including random forest etc. • Predicted malignant tumor using random forest model with 97.86% accuracy higher than 95.90% reported by UCI as highest • Successfully explained surgical procedure and interpreted process of model establishment • Reduced a statistical model with 4,0000 variables to 200 variables by data screening • Designed and create statistical analysis models using Lasso, SVM, random forest, KNN etc. • Optimized model with cross-validation to select tuning parameters by assessing model fit

      • Capstone Seminar

        Oct 2018 - Dec 2018
      • Project(Machine Learning)

        Feb 2018 - Dec 2018
    • M.S. Hall & Associates, LLC

      Sept 2019 - Jul 2022
      • Senior Data Analyst

        Aug 2021 - Jul 2022
      • Data Analyst

        Sept 2019 - Aug 2021
  • Licenses & Certifications