Addium

Data Scientist

Director, Data Science

calendar_today Sep 2023 - Feb 2025

location_on Remote

  • Manage team by tracking team KPI's & ensure team visibility by collaborating with leadership, engineering, product, and customer success
  • Mentor US & offshore team members by understanding their motivations, helping set goals, giving feedback, and providing technical guidance
  • 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
  • Develop Streamlit app POC 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

  • Develop intelligent software features using network models, density estimation, hypothesis testing, time series models, cluster analysis, linear models, change point detection to provide customers actionable insights for improving digital experience & network performance
  • Strategize cross functionally in launching real-time ML SaaS product that assists customers to automatically identify and remediate network, application, & end-user device problems
  • Stood up company’s first product data science team to provide data science solutions for multiple computer network and end user monitoring products
  • 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

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 Sep '24, Dec '24, Mar '25

location_on Seoul, SK

  • 서올대한국어 is the 6-level Seoul National University (SNU) Korean Language Course
  • Completed level 1, which is split into classes 1A and 1B, and completed class 2A
  • Enrolled in class 2B for Spring 2025 semester