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Hello! I'm Angel!

With a diverse background and a passion for leveraging data-driven insights to drive business growth, I am dedicated to innovating data-driven strategies that empower businesses to thrive in today's ever-evolving landscape. With an educational foundation from CMU, I bring cutting-edge knowledge and expertise to every project. Currently, I am a Data Scientist at IBM in New York.

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Prior to CMU, I've worked at BCG and Sociovestix Labs (a financial data science startup), where I acquired skills in large-scale statistical data analysis, software development, and structured problem-solving, and gained invaluable experience in tackling complex data challenges across a wide range of industries.

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In my free time, I enjoy playing sports and going on outdoor adventures. I've been enjoying bouldering and snowboarding! Additionally, I am passionate about learning foreign languages and I speak Mandarin, English, Japanese, and German. Aside from all of that, I enjoy traveling and exploring street food when I travel and visit new places!

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Angel Lee

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Data Scientist

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Expertise:

  • Large-scale Statistical Data Analytics (Python/ SQL/ Excel)

  • Software Development (Python/ Java/ JavaScript)

  • Full-stack Web Development (React/ Redux/ Flask)

  • Strategy Development & Business Process Optimization

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EXPERIENCES

EXPERIENCE

2023 - current

Data Scientist

IBM

  • Built customized AI and Cloud solutions and collaborated with the Client Engineering team to develop rapid Proofs of Concepts and Minimal Viable Solutions that demonstrate the business value.

2022 

AI/ML Intern

PPG Industries

  • Built Machine Learning models from scratch on predicting customer churn; helped identify customers that are at risk of leaving and ensured the sales/marketing teams focus on the right customers

  • Conducted data analysis on overall market trend, customer purchasing behavior, and product information, which enabled the business teams to provide personalized campaigns to each customer, expecting profit margin increase

  • Collected, cleaned, and enriched data in Databricks for model input including numerous previously unused features that played significant importance when modeling

2020 - 2021

Boston Consulting Group

Part-Time Assistant

  • Conducted market research, competitor analysis, data analysis, etc. to support consultants on client projects across 7+ industries (Technology, Manufacturing, Retail, Real Estate, Media & Entertainment, etc.)

  • Performed data analysis in a large-scale digital transformation case: Statistically analyzed 100GB+ of data using SQL and python and gave actionable insights to executives

2018 - 2021

Financial Data Scientist Intern

Sociovestix Labs

  • Developed an interactive website project to support the user’s decision-making process by providing financial data visualization graphs and simplifying the collaboration process between users

  • Transformed multiple raw datasets into useful information, including mapping 50,000+ rows of parent-child relationship data into hierarchical structures, which revealed relationships between corporations

  • Full-stack Web Development: Managed MySQL database tables and wrote SQL scripts to query data, created front-end web interface with React/Redux, and set up web backend with Python flask

EDUCATION

EDUCATION

2021-2022

Carnegie Mellon University, Pittsburgh, PA

Master's Degree

Master of Information Systems Management

  • Specialize in Business Intelligence and Data Analytics 

  • The curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics, and predictive modeling

  • Awarded merit-based scholarship

  • Leaderships:

    • Junior Board Member, Graduate Entrepreneurship Club

    • VP of Case Prep, Graduate Consulting Club

  • Case Competition Awards:

    • 1st Place, Pittsburgh Innovation Case Competition 2021

    • 3rd Place, Vertex & Carnegie Mellon Healthcare Case Competition 2021​

2016-2021

Bachelor's Degree

National Chiao Tung University, Hsinchu City, Taiwan

Bachelor of Science, Information Management and Finance

  • GPA: 3.86 / 4.3

  • Courses: Data Mining, Machine Learning, Statistics, Database Management, Algorithms, Financial Analysis

2018-2019

Exchange Studies

University of Mannheim, Mannheim, Germany

  • Studied Business Informatics

  • Awarded merit-based scholarship for the 1-year exchange studies in Germany at the University of Mannheim

  • Hackathon Award

    • “Best Business Case”, Life Science meets IT Hackathon in Germany

SKILLS

SKILLS

Data-focused Python Programming

SQL (MySQL, Oracle)

Microsoft Excel

Data Analytics & Modeling

Web Development

(React/Redux + Flask)

Fluent in English & Mandarin

Advanced in Japanese & German

PROJECTS

PROJECTS

Phishing Email Detection

  • a real-time web app that can detect phishing emails based on the sender, subject, and email content.

  • Analyze 10,000+ emails to identify phishing emails using Python

  • Discovered insights by performing data cleansing and feature engineering and integrating data visualizations

  • Applied text analytics techniques (TF-IDF & Doc2Vec) and machine learning models to classify emails

Mastered Math Game with Python

  • Developed Python application to automate playing a math game

  • Primarily applied cv2 and pyautogui packages

  • Could play continuously, with at least 30 correct answers and 0 incorrect answers each play

  • Github 

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Telegram Bot

  • Built a telegram bot with 6 useful daily features.

  • Features include weather info, stock info, dictionary, news, and searching on the web

  • Github

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FEATURED BLOG POSTS

CONTACT
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