Summary

I am an ambitious Master's candidate trained in Finance and Data Science. I have self-discipline and the ability to work with the minimum of supervision. Able to possess a good team spirit is deadline orientated and has the ability to organize and ensure that quality solutions meet business objectives.

Looking for a suitable Data science position with an exciting and innovative company that offers room for progression.

Education

University of Toronto

Master of information

2022 - 2024

  • Concentration: Human-Centred Data Science
  • Relevant coursework: Data Analytics: Introduction, Methods and Practical Approaches |Introduction to Statistics for Data Science | Programming for Data Science | Data Modeling and Database Design | Experimental Design for Data Science

Western University

Honours Bachelor of Management and Organizational Studies, Major in Finance and Administration

2018 - 2022

  • GPA: 3.9/4.0
  • Honors: Huron International Scholarship Award (2018-2021), Dean's Honor List (2019, 2021)
  • Relevant coursework: Computer Science Fundamentals I | Linear Algebra | Statistics

Technical Skills

  • Programming Languages

    R,Python,Excel

  • Framework&Tools

    Numpy,Pandas,Matplotlib

Academic Projects

Data Analytics - Company's Ideal Customers Dataset| R

Coding and Writing

  1. Examine and summarize data visually using tables and figures.
  2. Summarize data numerically using descriptive statistics and interpret them appropriately.
  3. Test research questions using inferential statistics, such as_ t-test, one-way ANOVA, and Pearson correlation_.
  4. Use statistical software** R** to examine data and calculate descriptive and inferential statistics.
  5. Construct and test simple hypotheses to answer social science questions.
  6. Prepare written, oral and visual reports for different audiences using appropriate statistical language.

Data Analytics - TMDB Movie Dataset | Python

Coding and writing

September 2022 - December 2022

  • Solve simple programming problems by creating algorithms, and apply procedural, functional, and object-oriented programming concepts by using Python.
  • Design, implement and execute functions that perform a numerical and textual analysis of data, and apply ways of summarizing, describing, and visualizing data.

Work Experience

SF-Express Co., Ltd.

Logistics Analyst Intern

June 2021 - July 2021

  • Review daily dispatch reports and take action as needed, i.e., open orders, daily priority areas (within Shanghai), blanks, or failed/missing courier orders.
  • Assist in responding to consumer complaints received via phone/webmail as per current processes.
  • Partners with various project leads to provide analysis including researching and reporting on data results
  • Responsible for ensuring the continuous maintenance and accuracy of reports in Logistics and meeting emerging and new business needs as they arise
  • Developed a comprehensive knowledge of the logistics industry in China by working closely with frontline logistic services providers and understanding their challenges and difficulties.
  • Improved data analytical skills by collecting logistic information and analyzing the risk areas and potential solutions.
  • Demonstrated excellent interpersonal skills by communicating with cross-department leaders to understand new employees' needs and provide appropriate training services.
  • Illustrated attention to detail and accumulated in-depth industry knowledge by analyzing, forecasting, and monitoring daily operations of the city.

Qingdao Jinshi Education Technology Company

Business Analyst Intern

June 2020 - August 2020

  • Daily visual analysis using **excel **to report student learning progress and teacher performance.
  • Applied solid academic background by conducting industry research on K12 education in China and providing practical suggestions for market expansion.
  • Recognized by parents and colleagues for effective organizing skills and significant efforts to meet students' needs, attracting new students with quality services.

Additional Experience

Business fundamentals program by Harvard Business School Online

  • Analyze and interpret data to inform business decisions
  • Implement analytical techniques in Excel
  • Develop effective pricing strategies
  • Evaluate the financial health of a business using financial statements
  • Prepare and evaluate financial forecast

Five-Week Enterprise Mentorship Program with a focus on Data Analysis with IBM

  • Research and categorize different COVID-19 impacts by industry and segment
  • Investigate current trends, challenges, and disruptions facing companies
  • Deep understanding of the market for augmented analytics
  • Using a variety of data analytics techniques including text analysis, statistical analysis, diagnostic analysis, predictive analysis, and prescriptive analysis to predict the future trend and business development
  • Gain an in-depth understanding of the enhanced analytics market to help define and Leverage the capabilities of Cognos Analytics to meet the critical use cases of today’s business needs

Languages

Language

Chinese

Mother Tongue

Language

English

Very Good