Jane Trading, Ltd

CEO

calendar_today Feb 2026 - Present

location_on Seoul, SK

  • Architected and developed a pricing analysis dashboard leveraging AI Agent Workflows on top of an AI agent built app that captures real-time client-side browsing data from e-commerce sites, directly streamlining product pricing decisions for imported goods
  • Streamlined marketing asset creation by implementing AI Agent Workflows to automate the translation of product images (English to Korean) and conversion of assets (JPG/PNG/PDF) into deployable HTML/CSS/JavaScript, including building a supporting desktop asset downloader
  • Optimized administrative efficiency in a foreign market by utilizing Google AI Notebooks to rapidly process and complete complex business tasks, including document comprehension and form submission in the Korean language

American Women's Club of Korea

Board Member, IT & Communications

Communications Web Developer

calendar_today June 2025 - Present

location_on Seoul, SK

  • Leading a strategic migration from costly paid platforms (Wild Apricot, Zoom) to Google Workspace for Nonprofits, slashing annual software expenditures and preserving 5% of the organization's total bank reserves
  • Modernized the club's digital presence using AI-assisted development and custom HTML/CSS/JavaScript, resulting in a responsive, mobile-optimized website to enhance user experience

Pathfolk

Freelance Web Developer

calendar_today August 2025 - September 2025

location_on Remote & Seoul, SK

  • Maintained strict visual consistency across a Squarespace platform and deployed AI-assisted custom code to enable user-provided fonts
  • Documented Squarespace 7.1 best practices user guide

Addium

Director, Data Science

calendar_today Sep 2023 - Feb 2025

location_on Remote

  • Spearheaded an Intelligent Plant Monitoring initiative in collaboration with Product, Engineering, and Customer Success, leading a team of three data scientists to build AI features on crop data that assisted farmers in real-time growing decisions, estimated to increase revenue by $1M USD
  • Provided leadership and technical guidance to US and offshore data science teams, managing performance KPIs setting strategic roadmaps, and ensuring alignment with product goals.
  • Develop, scale, maintain OOTB platform feature using signal processing on time series data to calculate water uptake by plants. Feature turn-off & turn-on rate equal since release
  • Build Streamlit data dashboard app to POC a solution that predicts when daily plant irrigation should stop using signal processing and regression

Riverbed Technology

Director, Data Science

Technical Director

calendar_today Oct 2020 - June 2023

location_on Remote

  • Founded and led the company’s first Product Data Science team, establishing a cross-functional model to deliver data science solutions across a suite of network and end-user monitoring products. Launched a real-time Machine Learning SaaS product designed to automatically identify and remediate complex network, application, and enduser device issues for enterprise customers
  • Secured a high-profile customer renewal by developing, patenting (Patent No: 12353277, first author), and technically communicating a Chi-square based tool that enabled IT teams to accurately root-cause widespread device issues
  • Recognized as a high potential employee to participate in 360 leadership development program

Walmart

Staff Data Scientist

Senior Data Scientist

Decision Manager II

2015 Summer Intern

calendar_today Aug 2016 - Oct 2020

location_on Bentonville, AR

  • Boosted online grocery sales by $160 million using Hive to develop an automated weekly audit report for 1 billion store-items that identifies discrepancies among ecommerce site back-end systems to fix items that are erroneously showing as out-of-stock, to provide root cause analysis for back-end system engineers, and to provide leadership with inventory accuracy KPI’s
  • Orchestrated development of AI product that automatically assigns items to slots in a warehouse by gathering requirements from stakeholders, designing linear programming optimization model, preparing dataset via R/SQL/Altyerx, overseeing model improvements and CPLEX implementation, providing logistics leadership with project updates, and launching product in 5 warehouses with estimated $5 million in labor savings
  • Enhanced demand forecasts by cleansing poor historical sales data for every item in all 4,000+ stores using R and Hadoop Hive to implement linear models that predict when a drop in sales is due to unfulfilled customer demand

University of California

Grad Student Researcher

Teacher Assistant

calendar_today Sep 2011 - Aug 2016

location_on Santa Cruz, CA

  • Researched, developed, and applied spatial model selection algorithms such as the Fused LASSO, Bayesian indicator model selection, and Bayesian spatial models to hypersepctral images using R, Matlab, and C++ OpenMP to identify chemicals in gasses released in the atmosphere
  • Produced academic papers with proven interest in PhD research as demonstrated by accepted talks and awards at academic conferences.
  • Mapped connectivity in the brain by fitting ARIMA time series models, dynamic linear models, and the cross-correlation function to MEG brain data in R and Matlab as part of masters thesis
  • Educated undergraduate students in probability and statistics courses with proven effectiveness as showcased in excellent teacher assistant evaluations

MIT Lincoln Laboratory

Research Intern

calendar_today Summer 2013 & 2014

location_on Boston, MA

  • Acquired physics knowledge and Matlab skills from expert researchers in spectral imaging and continued remote collaboration as part of PhD research

Introduction to Probability Theory

Teaching Assistant

calendar_today Spring 2013, Fall 2015

location_on University of California, Santa Cruz

  • Upper division course covering an introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains
  • Developed review lessons, answered questions, held office hours, and graded assignments for a total of 6 sections

Gaming and Gambling

Teaching Assistant

calendar_today Winter 2013, Spring 2014

location_on University of California, Santa Cruz

  • Lower division, statistics GE course covering games of chance and strategy motivated by early developments in probability, statistics, and decision theory. Course uses popular games to introduce students to these concepts, which underpin recent scientific developments in economics, genetics, ecology, and physics.
  • Developed review lessons, answered questions, held office hours, and graded assignments for a total of 6 sections

CTB McGraw Hill

SOX Technical Writer Intern

calendar_today Jun 2011 - Aug 2011

location_on Monterey, CA

  • Discovered weaknesses in and conveyed improvements for SOX compliance to finance team by producing narratives and Visio flowcharts of billing and revenue recognition processes
  • Delivered company-wide presentation explaining company’s financial processes and the importance of SOX compliance

Law Office of W. Parks

Legal Assistant

calendar_today Mar 2009 - Oct 2010

location_on Sunnyvale, CA

  • Advocated over 200 clients in filling out legal forms to successfully discharge debts

Equality California

Administrative Assistant

calendar_today Aug 2008 - Jan 2009

location_on San Francisco, CA

  • Worked for the No On 8 campaign by campaigning for monetary donations and maintaining large donor databases

UC Center Sacramento

Scholar Intern

calendar_today Jun 2008 - Aug 2008

location_on Sacramento, CA

  • Wrote reports analyzing the financial feasibility of bills regarding various topics, such as California’s budget crisis, California’s state prison crisis, and child poverty

PhD, Statistics & Applied Mathematics

University of California

school Jun 2018

location_on Santa Cruz, CA

  • Dissertation: “Model selection methods for linear, non-linear, and spatial data in hyperspectral imagery” with advisor, Dr. Abel Rodríguez
  • NSF S-STATS MODEL Fellowship recipient, 2012-2013 & 2013-2014
  • Courses include: Bayesian statistics, multivariate statistics, linear models, general linear models, non-parametric modeling, spatial modeling, times-series modeling, stochastic processes, machine learning, data mining, econometrics, micro- and macro- economic analysis, financial analysis, corporate finance, accounting

M.S., Statistics & Applied Mathematics

University of California

school Jun 2014

location_on Santa Cruz, CA

  • Thesis: “Time series models for MEG data” with advisor, Dr. Raquel Prado

B.A., Women's Studies & Political Science

University of California

school Aug 2008

location_on Santa Barbara, CA

  • Activities and societies: Events Officer, UCSB Society of Leadership and Success (2006-2007)
  • Courses include: Economics, Modern US Law, Third-World Politics, Philosophy, Gender Studies

Machine Learning Certificate

Cornell University

school Oct 2020

location_on Online

  • Courses in Python covering linear classifiers, decision trees & model selection, kernel machines, deep learning and neural networks

수료증 Certificate of Completion

서올대한국어

Seorae Global Village Center

school Level 1 - Jun 18, 2025

school Level 2 - Summer 2026

location_on Seoul, SK

  • 서올대한국어 is the 6-level Seoul National University (SNU) Korean Language Course
  • Completed Level 1 and will continue to Level 2 in Fall 2025
  • Curriculum includes beginner level Korean grammar, reading, writing, and speaking