Hi, Nice to meet you. My name is Minyoung Jeong.
Email: [email protected]
Github: https://github.com/minyoungjeong0812
LinkedIn : https://www.linkedin.com/in/minyoung-jeong/
<aside> <img src="/icons/bookmark_gray.svg" alt="/icons/bookmark_gray.svg" width="40px" /> I am an experienced data scientist with a solid and notable background in machine learning. My consistent track record of successfully delivering projects on time and deploying innovative solutions, combined with my effective communication and strategic planning skills, make me a substantially valuable and beneficial asset.
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Data Scientist - Machine Learning at Discord (2023 - 2024)
- Designed an end-to-end ML pipeline for alternate account detection, enhancing ban evasion identification and user insights, serving 4+ million active users. Achieved a 30% reduction in false identifications by using user embeddings
- Engineered and managed an ML workflow using Argo, incorporating hashing and parallelization to efficiently process billions of data points
Experienced Data Scientist at National Insurance Crime Bureau (2023)
- Enhanced fraud detection by 20% using an AWS-deployed ML classifier, accurately identifying fraudulent workers’ compensation claims
- Designed a network graph to detect fraudulent insurance claimants in tens of millions of claims, using disjoint-set data structures
Data Scientist - Machine Learning at Reddit (2020 - 2023)
- Ads Targeting
- Threat Intelligence
Fellow at Insight Data Science (2020)
- Implemented a Bayesian inference-based web application for PUBG to enhance cheating detection, significantly improving user experience by identifying cheaters more effectively
Process Engineer at Intel (2018-2020)
- Received the Technology Manufacturing Group (TMG) Excellence Award and Logic Technology Development (LTD) Divisional Award in recognition of automating data analytics processes using Python and SQL