Hi, I'm Angela Sun.

I'm a Business Analytics Professional with econometrics foundation.

Portrait of Angela Sun

Welcome to My Portfolio

Angela Sun in graduation regalia at UIUC

About Me

I'm Angela Sun, a Business Analytics master's student at USC Marshall with a background in Econometrics and Quantitative Economics from UIUC. I'm passionate about turning data into actionable insights and using analytics to support better business, product, and strategy decisions.

My Experience

Explore my experience across consulting, market research, data analytics, and campus leadership. From building dashboards and analyzing user behavior to supporting business outreach and client recommendations, I enjoy connecting data with real-world impact.

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Projects

Take a look at selected projects where I combine data analysis, product thinking, and storytelling — including SQL business analysis, AI-powered product design, PRD development, interactive prototypes, and case competition work.

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Experience

← Scroll horizontally to explore →

2022
Student Club

Social Media Director

MIMOSA Dance Crew

📅 2022.01 – 2023.05 📍 Champaign, IL
Student Club

Vice President of Events

UIUC CSSA

📅 2022.08 – 2025.05 📍 Champaign, IL
Consulting

Consultant

FACES Consulting

📅 2023.01 – 2024.12 📍 Champaign, IL
Internship

Intern

Xi'an Fengmao Jiacheng Industrial

📅 2023.05 – 2023.08 📍 Shaanxi, China
Part-Time

Tutor

ECON Tutor Center

📅 Feb 2024 – May 2024 📍 Champaign, IL
Competition

Semi-Finalist · Team Lead

AI Case Competition

📅 2025.09 📍 Los Angeles, CA
2025

Featured Projects

Walmart Sales Forecasting

Built a time-series forecasting project to predict Walmart daily sales across Foods, Hobbies, and Household categories using M5 competition data. Applied Ridge, Lasso, and Random Forest models to compare predictive performance and identify category-level sales patterns.

  • R
  • Time Series
  • Forecasting
  • Machine Learning
  • Econometrics
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Insurance Risk Classification

Developed a machine learning classification pipeline to assess insurance risk using patient health and demographic data. The project focused on feature engineering, model training, performance evaluation, and risk segmentation to support more data-driven underwriting decisions.

  • Python
  • Scikit-learn
  • Classification
  • Feature Engineering
  • Risk Analysis
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TrojanSync

Designed an all-in-one shared calendar app for USC students as an AI Case Competition semifinalist project. The product integrates academic scheduling, team coordination, campus event discovery, and personal planning to improve student productivity and collaboration.

  • Product Design
  • AI Prototype
  • PRD
  • Figma
  • Case Competition
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NLP Project

Collaborated on a team NLP project to analyze unstructured text data through preprocessing, feature extraction, and natural language processing techniques. The project explored how text analytics can be used to uncover patterns and generate actionable insights.

  • NLP
  • Python
  • Text Analytics
  • Feature Extraction
  • Team Project
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SQL for Business Analytics

Created a business-focused SQL project covering database fundamentals, joins, aggregations, KPI calculations, and analytical query techniques. The project demonstrates how SQL can be used to extract insights and support data-driven business decisions.

  • SQL
  • Data Analytics
  • Business Intelligence
  • KPI Analysis
  • Presentation
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Education

Foellinger Auditorium at University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

B.S. Econometrics & Quantitative Economics, Minor in Business

2021.08 – 2025.05 · Champaign, IL

Involvement:

  • CSSA — Vice President of Events
  • FACES Consulting — Market Analysis
  • ECON Tutor Center — Economics Tutor
  • MIMOSA Dance Crew — Social Media Director
USC campus building at University of Southern California

University of Southern California

Master of Science in Business Analytics

2024.08 – 2026.12 (expected) · Los Angeles, CA

Coursework & Focus:

  • Data-driven decision making & analytics engineering
  • Market analytics & machine learning
  • SQL, Python, and business analytics applications