Summary
Overview
Work History
Education
Skills
Websites
Currentproject
Projects
Timeline
Generic

Qian Fu

Chicago,IL

Summary

Detail-oriented and innovative Data Scientist with strong business acumen and customer centric mindset, leveraging data visualization and machine learning skills to solve challenging problems and deliver valuable business insights.

Overview

7
7
years of professional experience

Work History

Restaurant Manager

Panda Express
Crystal Lake, IL
06.2017 - Current
  • - Managed daily operations, leading a team of 23 employees. - Analyzed sales data to optimize inventory and reduce waste, achieving a 12% reduction in costs. - Improved staff scheduling efficiency, reducing labor costs by 11.3%. - Developed and implemented customer service training programs, improving customer satisfaction scores by 7.8% - Demonstrated leadership and problem-solving skills in a fast-paced environment.

Intern

Campanelli Elementary School
Schaumburg, IL
08.2021 - 05.2022
  • - Assisted in classroom management and lesson planning for a class of 25 students. - Supported students with personalized instruction and mentoring, resulting in improved academic performance for nearly 80% of the students. - Coordinated and facilitated educational activities and events.

Education

Master of Science in Applied Data Science -

School of Information, University of Michigan
Ann Arbor, MI
05.2024

Skills

  • Python
  • R
  • SQL
  • Pandas
  • NumPy
  • Dplyr
  • Scikit-Learn
  • TensorFlow
  • Keras
  • PyTorch
  • Matplotlib
  • Seaborn
  • Tableau
  • Hadoop
  • Spark
  • AWS
  • Google Cloud
  • Azure
  • Git
  • GitHub

Currentproject

As part of the IBM AI Developer Professional Certificate program, I am working on Developing AI models using IBM Watson, Python, TensorFlow, focusing on NLP, computer vision, and reinforcement learning.

Projects

The Article Analyst: Machine Learning Insights Into New York Times Journalism, https://github.com/akiwarheit/siads-696-nyt, Applied LDA and NMF for topic modeling; used MNB, SVM, and RF for classification., Python, Scikit-learn, NLTK, and Tableau, Achieved high accuracy in categorizing articles, improving information retrieval and content summarization. The project provided valuable insights into media narratives and enhanced the understanding of news content for users. Over the past two academic years, I have independently and collaboratively completed several other data science projects, demonstrating a wide range of skills and applications in various domains. Please check out my GitHub for more details.

Timeline

Intern

Campanelli Elementary School
08.2021 - 05.2022

Restaurant Manager

Panda Express
06.2017 - Current

Master of Science in Applied Data Science -

School of Information, University of Michigan
Qian Fu