Caleb Pitts

Software • Data • Crypto







About Me




Caleb Pitts Profile

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.



Experience




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, CA


Pacific 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, CA


Pacific 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, CA


Working 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, CA


Institute 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, CA



Projects





Technical Skills





Programming

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




Education




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