Passionate about building things that help people solve problems and make data-driven decisions. Experienced in solving engineering challenges through rigorous testing and software development. Skilled in object-oriented programming and presenting analytical insights to stakeholders. An avid learner with a high attention to detail. Secret superpower is turning caffeine into code.
Software Verification Engineer by-day, crypto enthusiast by-night.
Western Digital
Jul 2020 - Current
Software Verification Engineer
Developed software tests for a non-volatile memory express (NVMe) enterprise drive with a $300M revenue opportunity. Presented weekly failure analysis reports to cross-functional partners blocked by engineering challenges. Managed and executed several tests on CentOS Linux Virtual Machines (VMs) linked to NVMe drives being tested. Automated weekly metrics reports by pulling data across VMs saving dozens of manual hours per week.
Milpitas, CAPacific Life
Sep 2019 - Jun 2020
Operations Data Analyst
Forecasted customer service daily call volumes to aid customer service directors in allocating employee resources. Trained and validated a machine learning model (SARIMA) that predicts within 9% of actual call volumes, reducing excess staffing on low call volume days by as much as 25%.
Newport Beach, CAPacific Life
Jun 2019 - Sep 2019
Data Analytics Intern
Extracted 3.5M+ insurance contract processing interactions to define employee benchmarks for work queues, resulting in an identified opportunity to save the company 14% of work hours among operations staff. Created a dashboard for operations directors that standardizes task benchmarks and optimizes sufficient staffing levels. Enhanced performance evaluation of 100+ employees by tailoring employee-specific metrics and rankings.
Newport Beach, CAWorking Memory and Plasticity Laboratory
Sep 2017 - Current
Undergraduate Researcher • UC Irvine
Used machine learning models to predict future working memory performance of 726 subjects across 12 studies. Achieved 86% testing accuracy with a logistic regression model that predicts top-half and bottom-half performers. Identified and presented factors associated with successful working memory training to 20+ UC Irvine researchers.
Irvine, CAInstitute for Genomics and Bioinformatics
Sep 2018 - Mar 2019
Undergraduate Researcher • UC Irvine
Developed the data collection infrastructure for the lab by extracting over 140k data files from a protein data repository by formatting API responses so that it is compatible with graduate research programs.
Irvine, CAProgramming
Python • C++
Analytics
SQL • Excel • Pandas • NumPy • Scikit-learn • Jupyter
Presentation
Tableau • ggplot • shiny • matplotlib • HTML/CSS
Web/Other
RESP API • JSON/XML • HTML/CSS • Cryptoccurency Researcher/Investor • DeFi • DEX/CEX Trading • L2 Blockchains
University of California, Irvine
2016 - 2020
Data Science, B.S. • Computer Science, Minor
Python Programming, C++ Programming, Machine Learning, Analysis of Algorithms, Data Structures Implementation and Analysis, Data Management, Single Variable/Multivariable Calculus, Probability and Statistics,
Computer Science and Probability, Artificial Intelligence, Deep Learning, Computer Vision, Computer Networks, Data Science Capstone
Udacity
2018 - 2019
Data Analyst Nanodegree
6-month online program with several professionally-reviewed projects.
View Certificate