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Yuna Choi |
LinkedIn | GitHub | Portfolio yh6choi@uwaterloo.ca +1 647 389 7297 |
EDUCATION
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University of Waterloo: Computer Science (BCS), Statistics and Computational math minor |
Sep 2020 - Apr 2025 |
Relevant Courses: Intro to Machine Learning, Applied Linear Models, Computational Statistics and Data Analysis, Object-Oriented Software Development, Data Structures & Algorithms
Azure Certificate: DP-900 (Data Fundamentals)
EXPERIENCES
Data Scientist Jan 2024 – Apr 2024
Omnium CPG San Francisco, CA
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Conducted competitor analysis to support a client in expansion of their product line, providing insights into market trends and desirable product attributes.
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Enabled client positioning in retailers by leveraging data-driven insights, resulting in over 130% forecasted increase in sales and 150% expansion of market reach.
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Conducted research into factors influencing product discontinuation probability and methods for predictions.
Data Scientist Apr 2023 – Sep 2023
TD Bank – Wealth Data and Analytics Toronto, ON
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Built and deployed an NLP model to extract customer information from plaintext, reducing manual labor by 100%
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Refactored PySpark and SQL codes to optimize queries, resulting in a reduction of resource usage by over 35%
and an 80% acceleration in system performance.
Software Developer Sep 2022 – Dec 2022
Trend Micro – Cloud One Workload Security Team Ottawa, ON
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Developed enhanced search functions for Cloud One products to enable flexible matching in Java.
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Automated the process to update out-dated SDK versions using Java Groovy and Python.
Data Scientist Jan 2022 – Apr 2022
Wish (ContextLogic Inc.) Toronto, ON
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Analyzed purchasing behavior of loyal customers to evaluate the feasibility of a subscription-based service and to determine its optimal price point, which was projected to increase revenue by 45%.
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Identified links between excessive shipping costs and shopping cart abandonment rate through user segmentation and created dashboards to keep track of the progress of cost-reduction measures.
PROJECTS
RAG Search Engine | Python, Cohere AI, Django, Webscraping
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Developed a search engine harnessing retrieval-augmented generation (RAG) to give localized, real-time responses through language detection, Cohere’s web connectors, and web scraping.
Job Basket | Python, Pandas, Cohere AI, BeautifulSoup, Firebase
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Developed a web app that matches resumes with web-scraped job postings using NLP - used text summarization to extract keywords and semantic search using Cohere embed model to rank the matched job postings.
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2nd place in University of Waterloo Project Program hackathon sponsored by Cohere.