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.


Northeastern University

Master of Science in Data Analytics Engineering | Sep 2019 – May 2022

University of Washington

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



Analyst, Credit Risk  | Aug 2022 – Present
Chicago, IL
  • Produce credit card risk monitoring deck in Python and SQL to review delinquency performance and analyze risk strategies 
  • Track and report on Avant’s portfolio and industry trends to stay ahead of an always-evolving consumer lending environment by identifying & implementing improvements, and suggesting additional analysis 
  • Collaborate with the product team & data team on new initiatives and projects by providing insights on credit risk management 
  • Create Looker dashboards to provide frequent updates and keep management better informed of current risk trends 
  • Streamline the process flow of projects and improve accuracy in JupyterLab to reduce compilation time and complexity by 50% 


Data Analyst Co-Op | Jul 2021 – Dec 2021
Portland, ME
  • Built a point-to-point data mapping to assist migration of core business systems with increased data security and accessibility
  • Collaborated with development team on ETL procedures to ensure data quality for data reporting using SQL Server and IBM Db2
  • Analyzed insurance claims data to understand the characteristics of the population of claims, developed probabilites for making reserving decisions, built 82% accuracy machine learning models in R studio for predicting losses on an incurred insurance
  • Research external data from public statistics to comprehend the potential causes of worker’s compensation claims, documented API access techniques to enrich internal data
  • Developed insightful visual presentation using Power BI to summarize aggregate claims data and to facilitate insurance loss control 

Northeastern University

Website Design & Data Assistant | Mar 2021 – Present
Boston, MA
  • Built website for health science department which reflected their research and findings
  • Visualized to interpret patterns within questionnaire dataset, supported 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
  • Built a marketing plan for ecommerce business in Python and Excel to increase product visibility and market performance 
  • Automated the process to reduce 40% manual task of data cleaning and data normalization, examined sales trends in Python 
  • Performed market research and competitive analysis; suggested clients with recommendations using Tableau dashboards 
  • Increased ROI by 20% while effectively managing $10,000 in paid search campaigns to grow business online