Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Zhuyun Jin

Pittsburgh,PA

Summary

As a dedicated professional with a strong educational foundation in statistics and machine learning, I bring a unique blend of analytical rigor and data-driven problem-solving to the table. My passion for leveraging data to derive actionable insights and drive informed decision-making has fueled my success in a variety of roles and projects.

I possess a deep understanding of statistical methodologies, machine learning algorithms, and data analysis techniques, which I have applied effectively to solve complex problems and optimize processes. My proficiency in programming languages such as C, Python and R, coupled with my expertise in data visualization, enables me to transform raw data into meaningful narratives that drive business outcomes.

I am excited to continue my journey of using data to make a positive impact and drive success in my future endeavors.


Overview

2
2
years of professional experience

Work History

Local Sales Manager

Fantuan Delivery
07.2023 - Current
  • Provided superior and individualized customer service.
  • Identified and resolved complex issues by applying advanced analytical and troubleshooting strategies.
  • Built relationships with customers and community to establish long-term business growth.
  • Updated company website with deals and product packages.

Internet Sales Manager

Yamibuy
08.2022 - Current
  • Increased sales and customer satisfaction through personalized servicing.
  • Kept detailed records of sales and contracts.
  • Worked with loss prevention in monitoring shopper behavior.

Teacher's Assistant

Fanmei International Education
06.2021 - 09.2021
  • Graded TOFEL and SAT tests and reported individual progress to teacher.
  • Studied and implemented latest information on language tests and learning strategies.
  • Taught courses under guidance of senior instructors.
  • Developed materials for classroom teachers to support instruction and in-class activities.

Summer Data Science Intern

Ping An Bank
05.2021 - 09.2021
  • Identified, analyzed and interpreted trends or patterns in complex data sets of customer deposits.
  • Utilized data visualization tools to effectively communicate business insights.
  • Implemented code solutions to answer analytic questions and test and assess new methods.
  • Created data models to support decision-making processes.
  • Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Data Analyst Intern

Shuyin Education
04.2021 - 08.2021
  • Identified, analyzed, and interpreted trends or patterns in university applications in UK sets by finding correlations and visualizing with charts.
  • Identified bugs in data collection or reporting and investigated root causes.
  • Analyzed user concerns, requirements and requests for system features and uses.
  • Used modeling and analytics to understand how business decisions impacted bottom line.

Education

Bachelor of Arts - Architecture

Carnegie Mellon University
Pittsburgh, PA
05.2024

Bachelor of Science - Statistics And Machine Learning

Carnegie Mellon University
Pittsburgh, PA
05.2024

Skills

  • Program language: C, Python, JavaScript
  • Data Visualization: R studio
  • Microsoft Office
  • Performance Analytics
  • Code Review
  • Debugging and Troubleshooting
  • Commercial Projects
  • Architectural Innovation
  • Landscape Architecture
  • AutoCAD Trained
  • Rhino, Revit, Grasshopper, SketchUp, Ps, Illustrator, In Design, Procreate

Languages

Chinese (Mandarin)
Native or Bilingual
English
Native or Bilingual

Timeline

Local Sales Manager

Fantuan Delivery
07.2023 - Current

Internet Sales Manager

Yamibuy
08.2022 - Current

Teacher's Assistant

Fanmei International Education
06.2021 - 09.2021

Summer Data Science Intern

Ping An Bank
05.2021 - 09.2021

Data Analyst Intern

Shuyin Education
04.2021 - 08.2021

Bachelor of Arts - Architecture

Carnegie Mellon University

Bachelor of Science - Statistics And Machine Learning

Carnegie Mellon University

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Zhuyun Jin