Kaming Yip

Kaming Yip

Finance Intern

Followers of Kaming Yip420 followers
location of Kaming YipNew York, New York, United States

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  • Timeline

  • About me

    Data Scientist

  • Education

    • Fudan University

      2014 - 2018
      Bachelor of Engineering - BE Electronic and Information Science and Technology

      Courses completed:Mathematical Analysis, Linear Algebra, Programing, Mathematical Probability, Data Collection and Processing System, Computer Architecture Software and Interface Technology.

    • Boston University

      2018 - 2020
      Master of Science - MS Applied Business Analytics(STEM) 3.95/4.00

      Courses completed:Data Mining, Information Structures with Python, Data Science with Python, Business Analytics, Enterprise Risk Analytics, Marketing Analytics, Web Analytics, Operations Management, Financial Concepts

  • Experience

    • Burson-Marsteller

      Apr 2018 - Aug 2018
      Finance Intern

      • Improved in-house models using MS Excel (pivot table, vlookup, Macros) and ERP system (Maconomy) to construct standardized databases for company budget and expense data, improving filing and reporting time by 20%.• Constructed monthly P&L and expense statements with revenues up to $1M/month, compiling financial solutions and analyzing marketing project profitability for 100+ clients and vendors.• Composed standardized financial statements and visualized capitalization dashboard to dynamically track company’s financial conditions, reducing the error rate by 10% from previous quarter. Show less

    • Boston University

      Sept 2019 - Jul 2021

      • Designed Qualtrics surveys collecting and synthesizing 3K+ data points from experienced nurses to identify significant features for patient task prioritization with regression models.• Conducted EDA to visualize the underlying patterns and behaviors in the patient care processes.• Analyzed different priority schemes to assess the impacts of feature selection and allocation on clinical operations.• Developed a decision support system (DSS) in Python with statistical modeling, Monte Carlo simulation, and ML classifiers (Logistic Regression and Random forest) to predict dynamic priority score of patient tasks.• Consulted for Henkel Corporation with TIS Help Desk, analyzed 14K+ B2B customer behavior data, and developed an interactive DSS with Excel and Python to optimize workforce capacity and enhance service performance. Show less • Organized teaching activities for 50+ Business Analytics students to craft customized and advanced visualization into 10+ types of configurations using ggplot2 package in R.• Launched text mining materials (tokenization, sentiment analysis, word cloud, etc.) to analyze neighborhood descriptions and customer reviews on 3K listing Seattle Airbnb properties.• Tutored and mentored students in applying up to 10 supervised & unsupervised ML algorithms to perform predictive analysis and pattern detection in structured and unstructured data. Show less

      • Research Assistant

        Jan 2020 - Jul 2021
      • Data Mining Graduate Teaching Assistant

        Jan 2020 - May 2020
      • Operations Management Graduate Teaching Assistant

        Sept 2019 - Dec 2019
    • Deutsche Bank

      Jul 2021 - Jul 2023
      Anti-Financial Crime (AFC) Data Scientist
  • Licenses & Certifications