Boston · Data Science × Collage

Yoon Lee finds the picture / in the noise.

Data scientist by trade, collage artist by instinct. Both come down to the same move: take something noisy and over-full — a bank's tangle of reporting rules, a city block, a deli counter — and find the one arrangement that makes it read.

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About

I'm a data scientist by trade and a collage artist by instinct. At Management Solutions I own the end-to-end data-quality platform for a major US bank's regulatory reporting team — turning 3,000+ loosely written rules into precise, reusable logic that runs at enterprise scale on Google Cloud.

The through-line to the art is the same: I take material that's noisy and over-full — a city block, a deli counter, a concrete wall — and look for the one structure that makes it read. Collage is just feature selection with a camera.

Now I'm pointing the analytical half at the field's most interesting problems — the kind of work done at firms like BCG X, QuantumBlack, and Bain.

Off the clock: collage, running, cooking, reading — and keeping a quiet eye on the markets.

BasedBoston, MA
RoleData Science Consultant II
EducationB.S. Statistics, UIUC ’24
StackPython · R · SQL · GCP · BigQuery
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Side Projects

Things I built on my own time to answer a question I was curious about, then put online.

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Experience

2024 — NOW
Boston

Data Science Consultant II · Management Solutions

  • Own the end-to-end data-quality platform for a major US bank's regulatory reporting team — 3,000+ rule definitions turned into precise, executable logic across regulatory datasets.
  • Translate compliance requirements into production DQ rules with client SMEs — defining what "correct" means per field, then implementing it as reusable, parameterized checks.
  • Built Looker Studio dashboards (MoM/QoQ trends, line-item variance) that cut anomaly-detection time by 50%.
  • Built a Selenium automation pipeline to sync loan records into a new core banking platform — 80%+ less migration time and error.
2023
Chicago

Technology Consulting Intern · EY Blockchain

  • Researched blockchain protocols to improve traceability of fund flows for an NGO's disbursement structures.
  • Produced 10 data visualizations on developer and network activity, integrated into client-facing products.
2022
Seoul

Digital Technology Consulting Intern · Ernst & Young

  • Researched global smartphone and wearables markets, informing client marketing strategy.
  • Cleansed 1M+ social-sentiment data points (BrandWatch, Sprinklr) — +25% customer engagement.
2019 — 21
Paju

Administrative Specialist, 9th Division · Republic of Korea Army

  • Mandatory service — managed personnel data for 103 soldiers and automated the Excel workflows behind it.
SEP–OCT 2019
Daejeon

Research Assistant, Cognitive Neuro-Imaging Lab · KAIST

  • Supported research on early Alzheimer's detection from MRI, CT, and PET scans.