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!
Angel Lee
Data Scientist
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Expertise:
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Large-scale Statistical Data Analytics (Python/ SQL/ Excel)
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Software Development (Python/ Java/ JavaScript)
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Full-stack Web Development (React/ Redux/ Flask)
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Strategy Development & Business Process Optimization
EXPERIENCES
2023 - current
Data Scientist
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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
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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
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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
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Collected, cleaned, and enriched data in Databricks for model input including numerous previously unused features that played significant importance when modeling
2020 - 2021
Part-Time Assistant
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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.)
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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
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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
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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
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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
2021-2022
Master's Degree
Master of Information Systems Management
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Specialize in Business Intelligence and Data Analytics
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The curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics, and predictive modeling
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Awarded merit-based scholarship
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Leaderships:
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Junior Board Member, Graduate Entrepreneurship Club
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VP of Case Prep, Graduate Consulting Club
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Case Competition Awards:
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1st Place, Pittsburgh Innovation Case Competition 2021
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3rd Place, Vertex & Carnegie Mellon Healthcare Case Competition 2021​
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2016-2021
Bachelor's Degree
National Chiao Tung University, Hsinchu City, Taiwan
Bachelor of Science, Information Management and Finance
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GPA: 3.86 / 4.3
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Courses: Data Mining, Machine Learning, Statistics, Database Management, Algorithms, Financial Analysis
2018-2019
Exchange Studies
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Studied Business Informatics
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Awarded merit-based scholarship for the 1-year exchange studies in Germany at the University of Mannheim
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Hackathon Award
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“Best Business Case”, Life Science meets IT Hackathon in Germany
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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
Phishing Email Detection
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a real-time web app that can detect phishing emails based on the sender, subject, and email content.
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Analyze 10,000+ emails to identify phishing emails using Python
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Discovered insights by performing data cleansing and feature engineering and integrating data visualizations
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Applied text analytics techniques (TF-IDF & Doc2Vec) and machine learning models to classify emails
Mastered Math Game with Python
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Developed Python application to automate playing a math game
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Primarily applied cv2 and pyautogui packages
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Could play continuously, with at least 30 correct answers and 0 incorrect answers each play
Telegram Bot
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Built a telegram bot with 6 useful daily features.
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Features include weather info, stock info, dictionary, news, and searching on the web
FEATURED BLOG POSTS
