Junhee Lee Email & Phone Number

Seattle, Wa, Us

Seattle, Washington, United States

Technical Privacy - Developed/implemented north star privacy product metric (Tableau) to measure impact of product releases, showing +7.0PP increase of privacy awareness in 2023 - Prevented $2 million+ loss in ads profit by demonstrating negative impact of existing design via experimentation - Avoided $350,000 in violation fees by demonstrated evidence of proper privacy control implementation for the 2023 FTC Audit - Introduced A/B experimentation guidelines/processes for 3 privacy products to assess impact and forecast metric estimates for global launches to set better quarterly key result targets - Led redesign of web analytics for all privacy products for better analytic framework and dashboarding - Led DA team of 4 as interim lead for 4 months - Interviewed 12 DA candidates and onboarded new DA till her first major project - Supported Pride@Uber Seattle ERG by organizing the 2023 June Pride Drag Show and raising awareness

Redmond, Wa

Developed model to categorize 1k+ daily support tickets into 4 groupings to reduce case review times-Trained semi-supervised language model based on customer verbatims (65% recall)-Established relationships across 3 major product teams to adopt feature-Implemented MLOps and dashboard reporting to measure performance and reduce cost of adoptionAnalyzed low-vision population telemetry to improve Windows 10 accessibility features-Classifying visually impaired users with telemetry to improve Magnifier app for low vision users-Trained classifier to exclude accidental user from NSAT to make better design decisionsAnalyzed telemetry from developer UI tools to enhance experience for Windows 10 developers-Developed metrics and automated dashboards for management to track ecosystem success-Collaborated with program managers to establish OKRs for the UI stack-Delivered monthly reports and presentations to leads and managers-Managed data pipeline and provided ad hoc insights to program managersDeveloped a classifier to identify the developer population using telemetry and survey data-Analyzed survey data to generate insights on Microsoft's developer population-Trained gradient boosting model (76% precision) to count active users and conduct user studies-Created data pipeline for other teams to leverage classifications-Published methodology and results to Microsoft Journal of Applied Research

Grinnell, Ia

Spring 2018: Introduction to Data Science (MAT295) Teaching AssistantFall 2017: Statistical Modeling (MAT310) Teaching AssistantSpring 2017: Elementary Number Theory (MAT218) Teaching AssistantFall 2016: General Physics II Workshop (PHY132) Teaching AssistantSpring 2016: General Physics I Workshop (PHY131) Teaching AssistantFall 2015: General Physics I (PHY131) Teaching AssistantSpring 2015: General Physics II (PHY132) Tutor

Grinnell, Ia

• Fall 2017: Created word embedding models for American newspaper sources from 1937 to 1948 regarding the Holocaust and Japanese Internment Camps• Fall 2016: Organized stock market time-series and created mixed effects linear models analyzing return on investment using singularity spectrum-widths of time-series with and without nonlinear correlations across scale• Fall 2015: Developed code (R) for data analysis of simulation data with correlations across scale to examine effects of increasing variance with respect to scaling (multifractality) using a linear regression model (journal article in Complexity)

Grinnell, Ia

Explored 37 nonsymmetric hypergroups of rank 4 to expand on Cayley's Theorem from Group Theory--studying the parallel results of the relationship between hypergroups and association schemes.• Proved original conjectures using number theoretic results and proofs by contradiction, developing an end paper of 44 pages of our results.• Coded programs in SageMath (Python syntax) to find contradictions in association scheme structures through exhaustive computational checks of carefully determined graphs.

Redmond, Washington

Richland, Washington Area

Long-term project to develop new power plant infrastructure reducing CO2 emission and increasing energy efficiency (50%)• Implemented and coded network analysis and clustering models (Fortran, Bash) of molecular data• Utilized Supercomputer networks such as NERSC to run analysis on large-scale data sets (100GB+)• Journal article published in the Journal of Physical Chemistry Letters (Impact Factor: 8.539)

Grinnell, Ia

• Edited and distributed weekly e-news blast (newsletter) to 270+ Chamber members for updates about local events• Assisted in organizing Grinnell traditions (Fright Hike, Jingle Bell Holiday, Grinnell Games) for the public’s enjoyment• Shot pictures of local businesses, products, and events to enhance online advertisement and maintenance of social media (Facebook, Instagram, Twitter)• Organized and wrote the 2015 annual report for the Chamber.

Grand Rapids, Michigan

• Assisted medical personnel in reading vital signs and storing it in the computers• Comforted and assisted patients in the neurosurgery department• Observed various medical procedures, such as MRIs and x-ray scans