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Reanne Lee

Reanne Lee

Aspiring Data Engineer

Technology / Internet

Woodlands

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About Reanne Lee:

Final-Year undergraduate majoring in Data Science & Analytics  

Experience


Data Analyst Intern, SCOR Reinsurance APAC SE


Data Science and Data Analytics Teaching Assistant, Vertical Institute
Feb 23 - Present Dec 21 - Present
 • Cooperated with instructors and guided over 400 students in lesson materials and capstone project
• Troubleshoot debugging problems with students by considering trade-offs of different solutions
• Initiated 1-1 consultation, conducted weekly quizzes, and demonstrated common mistakes in code for shared learning


Data Engineering Intern, Health Promotion Board, Programme & Evaluation Jul 22 – Dec 22
• Implemented and validated National Health data script translation from Python to PySpark (Databricks)
• Incorporated optimisation methods & integrated workflows to speed up Spark performance
• Ensured data reliability between sources by overseeing UAT processes with high precision


Data Science Intern, CROWDO Dec 21 - Feb 22
• Built tree-based, regression, neural network and ensemble models to predict credit scores of customers
• Fine-tuned model parameters, examined, interpreted and presented best model results to Head of Data Science
Investment Analyst Intern, Carrington RHT Wealth Jun 21 - Dec 21
• Conducted a high degree of due diligence and evaluated financial performance to identify potential equity investments
• Proposed and built client portal from scratch using WordPress


Investment Analyst Trainee, Advisors Alliance Group Jun 21 - Jul 21
• Performed market research, consolidated various financial data and market news 

PROJECTS
Kantar-NUS DACC Data Science Hackathon (1st Runner Up) Sep 21 - Oct 21
• Designed a recommendation system and media plan to encourage customers to purchase healthier food options while lowering grocery spending
• Recommendation system built using an ensemble of Market Basket Analyses and User-Based Collaborative Filtering 

Education

NUS Data Science and Analytics Undergraduate (Final Year)

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