Yingshu Chen

Research Assistant at University of Southern California
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles, California, United States, US

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Master of Science
    University of Southern California
    May, 2023
    - Oct, 2024
  • Analyzing Data in Tableau
    DataCamp
    Jan, 2023
    - Oct, 2024
  • Intermediate R
    DataCamp
    Jan, 2022
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2023 - Present

      Research advanced feature engineering techniques and implement them on various datasets. Performed data preparation and EDA (exploratory data analysis) in Python and Tableau on Chronic Heart Disease dataset, developed feature engineering and model selection model pipeline in Microsoft Azure Research advanced feature engineering techniques and implement them on various datasets. Performed data preparation and EDA (exploratory data analysis) in Python and Tableau on Chronic Heart Disease dataset, developed feature engineering and model selection model pipeline in Microsoft Azure

    • United States
    • Professional Training and Coaching
    • 300 - 400 Employee
    • DS4A Program Fellow
      • Jun 2023 - Aug 2023

      Churn rate, the percentage of customer loss over time, is a critical metric for banks. Here we used machine learning approach to analysis how factors influence customer bank retention, and what customer group is more likely to leave the bank. Performed exploratory data analysis (EDA) on 10k bank churn dataset, engineered categorical features and used SMOTE method to oversample the unbalanced dataset. Evaluated logistic regression, random forest and XGBoost model by accuracy, precision and F1 score, tuned the model using random search method. Used unsupervised learning to identify clusters of customers that require more retention strategies. Show less

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Consulting Analyst
      • Oct 2020 - Jul 2021

      - Conducted field surveys, visited customers and experts for market and industry insights through projects, accompanied manager and county to design and carry out planning of medical industrial park in Shanghai, China. - Researched into medical equipment, new energy vehicle and recycling industries, applied analytical tools to organize and find insights from information through industries and capital markets, accomplished 5 professional consulting reports to support customers’ investment and market-entry decision-making. - Developed quantitative models utilizing statistical analysis techniques (regression, time series analysis) to predict market size and trends, conducted financial data analysis, optimized client financial portfolios and asset allocation plans Show less

    • China
    • Technology, Information and Internet
    • 700 & Above Employee
    • Data Analyst and Operation Intern
      • Jul 2020 - Sep 2020

      - Conducted data analysis of 210K+ shared bikes' operational data using SQL, Python, and Excel, developed 100+ daily dashboards in Tableau and JavaScript to monitor operational performance across 9 cities - Optimized key performance indicators (KPIs) by incorporating density grid features and analyzing carrier efficiency, identified labor shortages and undersupply of vehicles in 20+ areas, resulting in a 20% increase in monthly orders - Conducted data analysis of 210K+ shared bikes' operational data using SQL, Python, and Excel, developed 100+ daily dashboards in Tableau and JavaScript to monitor operational performance across 9 cities - Optimized key performance indicators (KPIs) by incorporating density grid features and analyzing carrier efficiency, identified labor shortages and undersupply of vehicles in 20+ areas, resulting in a 20% increase in monthly orders

    • China
    • Banking
    • 100 - 200 Employee
    • Data Analyst Intern
      • Aug 2019 - Nov 2019

      - Processed and analyzed investment information of 52K private banking customers, monitored sales performance of financing products in real-time, and assisted manager to design financing product sales promotion strategies. - Built efficient End-to-End data ETL (Extract, Transform, Load) pipelines in Excel VBA and Python, increased daily work efficiency by 300% - Processed and analyzed investment information of 52K private banking customers, monitored sales performance of financing products in real-time, and assisted manager to design financing product sales promotion strategies. - Built efficient End-to-End data ETL (Extract, Transform, Load) pipelines in Excel VBA and Python, increased daily work efficiency by 300%

    • Banking
    • 700 & Above Employee
    • President Assistant Intern
      • Jan 2019 - Mar 2019

      - Assisted in corporate account’s on-site checking, automobile installment (car loan) transactions, and credit card business. - Evaluated key financial information of small-sized companies in their loan applications. Promoted new financing product to over 50+ clients. - Assisted in corporate account’s on-site checking, automobile installment (car loan) transactions, and credit card business. - Evaluated key financial information of small-sized companies in their loan applications. Promoted new financing product to over 50+ clients.

    • China
    • Financial Services
    • 100 - 200 Employee
    • Financing Consultant Assistant Intern
      • Jan 2018 - Feb 2018

      - Assisted consultants in broker business, supported financial products market promotion and participated in holding broker roadshows. - Assisted consultants in broker business, supported financial products market promotion and participated in holding broker roadshows.

Education

  • University of Southern California
    Master's degree, Data Modeling/Warehousing and Database Administration
    2021 - 2023
  • Sichuan University
    Bachelor's degree, Finance
    2016 - 2020

Community

You need to have a working account to view this content. Click here to join now