Summary
Overview
Work History
Education
Skills
Languages
Websites
Academic Projects
Timeline
Generic

Anshen Huang

Richmond Hill

Summary

Experienced collaborator skilled in meeting needs, improving processes, and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills. Detail-focused data analyst with expertise in data warehousing, process validation, and business needs analysis. Demonstrated ability to understand customer requirements and translate them into actionable project plans. Dedicated and hard-working with a passion for big data.

Overview

1
1
year of professional experience

Work History

Customer services representative

Canadian Imperial Bank of Commerce
2021.08 - 2022.12
  • Awarded Moment Makers in CIBC
  • Monetary Transactions - Handled cash, check, credit and automatic debit card transactions with 100% accuracy.
  • Customer Relations - Earned highest marks for customer satisfaction, company-wide.
  • Contribute to team sales results by spotting opportunities to offer additional advice, introduce clients to the capability of partners, or personally fulfill client solutions
  • Familiar with full spectrum of financial products, including account opening, capital management, education financing, debts consolidation, real estate financing, mutual fund

Education

Bachelor of Science - Applied Statistics & Economics Double Major

University of Toronto, St. George Campus
Toronto, Canada
06.2024

Skills

  • Problem-solving abilities
  • Critical Thinking
  • Data Visualization and Presentations
  • Data Analysis
  • Python Programming
  • SQL
  • Tableau
  • R Programming
  • Data Modeling
  • Machine Learning
  • Advanced Excel

Languages

English, Chinese (Mandarin), Chinese (Cantonese)
Native language

Academic Projects

Data Visualization Project : 

Education Difference Worldwide

  • Investigate research questions, collect effective data, and visualize the distribution of exciting variables, using statistical methods and R code to analysis for the research questions
  • Performed and constructed presentations and reports using Excel and Tableau for consistent formatting and layouts, resulting in constructive visuals for the audience to understand the relationships in data


Data Analysis Project in Machine Learning: 

US Company Bankruptcy Prediction Model

  • Using Python to handle missing values, encode categorical variables, and preprocess the data to make it suitable for machine learning models. Performed Exploratory Data Analysis (EDA) to understand the distribution of data, identify patterns, and gain insights into the relationships between different variables.
  • Explored and compared different machine learning algorithms, such as Logistic Regression, Decision Tree, Random Forest, and XBoost, to find the best model for the specific problem of bankruptcy prediction.
  • Managed the overall workflow of the project, including data cleaning, modeling, evaluation, and documentation.

Timeline

Customer services representative

Canadian Imperial Bank of Commerce
2021.08 - 2022.12

Bachelor of Science - Applied Statistics & Economics Double Major

University of Toronto, St. George Campus
Anshen Huang