About Me

Hi, I am Yixuan Feng

I am passionate about gleaning insightful information from massive data assets and developing a culture of data-driven decision making.

Today’s world is ruled by Data. Data is the most important asset a company could have to understand customer needs and grow its business. It has become more important to manage, cleanse and utilize this data effectively.

As a graduate student studying at Northeastern University, I am majoring in Data Analytics Engineering. My academic projects had built me in proficiencies in applying data analytics skills by using a diverse set of programming languages including SQL, R, Python.

Education

Northeastern University

Master of Science in Data Analytics Engineering | Expected Dec 2021

University of Washington

 Bachelor of Science in Chemical Engineering  | Sep 2016 – Jun 2019

Experience

Northeastern University

Website & Data Assistant | March 2021 – Current
Boston, MA
  • Build website for health science department which reflected their research and findings
  • Develop data tracking systems, support research team to analyze project data

Northeastern University

Teaching Assistant | Sep 2020 – Dec 2020
Boston, MA
  • Implemented a class plan with flexible assignment submission and grading system, facilitated a better understanding of the course 
  • Mentored 60+ students in business statistics concepts including probability distributions, hypothesis testing and regression analysis 

 Jinan Tata Network Technology Co., Ltd  

Data Analyst Intern | Jun 2019 – Aug 2019
Hangzhou, China
  • Analyzed key factors affecting client’s return report on advertising spend on e-Commerce platforms including Alibaba and Taobao 
  • Assisted clients to make data-informed decisions and forecasted future sales by reporting weekly updates and monthly ROI utilizing formulation in Excel and dashboard in Tableau 
  • Increased 20% quarterly revenue by working cross-functionally with business operations and product teams to apply sales plans with advertising group and optimizing strategies basing on fluctuations