Me at a Glance

Statistics/Data Mining

R Statistical Modeling

Creating Shiny apps. Programming models with R, including GLMs, Bayesian techniques, and Nonparametric statistics.

Python for Data Science

Creating applications using Dash, running models with SciKit, Numpy, and Pandas.

Six Sigma

Design of Experiments

Factorial experiments, fractional factorial experiments, split plot designs, optimization.

Value Stream Mapping

Leading teams to systematically identify and prioritize opportunities for reducing waste.

Rapid Improvement (Kaizen) Event

Training of

Leadership

Education

Master of Statistics

California State University, FullertonAug 2018 – May 2020

Main subjects: Computational Statistics. Machine Learning. Bayesian Analysis.

Cumulative GPA: 3.63 / 4.0

Master of Business Administration

California State University, Long BeachAug 2014 – Dec 2017

Main subjects: Analysis of large datasets in Excel and SAS. Information system management.
Cumulative GPA: 3.75 / 4.0

Bachelor of Mathematics

University of California, IrvineAug 2008 – Aug 2012

Experience

Continuous Improvement Leader

Kroger Manufacturing — Riverside CreameryMar 2018 – Present

Brought process reliability from 71.8% in P1 2019 to 82.4% in P2 2020
Mentor greenbelts to achieve over $150,000 in savings
Independently develop, define, and drive a new system in R and Minitab to measure customer comment performance in a high quality environment
Develop new measurement system to identify 25% case loss by marrying Kroger business objects sales data with route case returns

Sales Manager/Front-End Manager

Ralphs Grocery CompanyAug 2007 – Aug 2014

Programmed a queue length dashboard with shell scripts and Perl to achieve a 90% fast-checkout rating
Created a new data maintenance method to improve WIC product accuracy with Excel, solving 140 WIC-item violations
Devised an innovative pricing barcode job-aid program in SCO Unix, fielding support for the data integrity department