Data Science / Modeling / Mathematics / Quantum Computing
Uncovering actionable business and data insights through application of a diverse skill set, ranging from formal STEM education to Executive consulting experience to loading UPS trucks
I deeply enjoy teaching others how to unlock the hidden structures of our world, analyze situations from multiple perspectives, and learn new skills to thrive in ever-changing environments
Currently working on:
Coding: regression, classification, neural net models using public datasets
Personal development: reading and writing; regular exercise, playing music
Learning Quantum Computing SDK libraries and general QC algorithms
Qiskit, Cirq, (pyquil coming soon)
EDUCATION
University of San Diego
Masters Degree in Applied Data Science - May 2024 (expected)
General Assembly
Data Science Programming Bootcamp, 3mo full-time course - 2021
University of Houston Downtown
Bachelor of Science in Applied Mathematics - 2014
Connect via email
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Recent Coding Projects
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Data Science for Investing
This is a capstone project to predict the intrinsic value of a public business, based on its financial characteristics without ever looking at stock price. I created a pro forma valuation tool and also gave a 25min talk on the subject
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Pulsar Classification
Using HTRU2 data from the UCI archive, this repository uses publicly-available statistical data on suspected pulsars to classify radio telescope observations as Noise (0) or Pulsar (1)
Classification algorithms, gridsearch parameter tuning
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Climate Change analysis
This is a group project, and we sourced more than 70 years of hourly NOAA data to predict weather data by decade. That is to say, IF the climate changes over time, can we predict in which decade a given weather observation occurred?
Skills
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Programming
Python for Data Science: Pandas / Numpy / Keras / Tensorflow / scikit-learn / Regression / Classification / Clustering / Neural nets
Also - Data visualization / SQL / Natural language processing / Recommender systems / Basic HTML & CSS / Webscraping
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Professional
Executive Compensation: Incentive Plan Design / SEC.gov filings / Top 5 NEO pay / CEO Pay Ratio / Broad-based equity (stock) allocation
Also - Project management / Recruiter consultation / Organizing cross-functional meetings / Financial analysis / General HR resolutions
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Quantum Computing
Undergraduate courses in Quantum Mechanics / Statistical Mechanics / Modern Physics, including a senior thesis: Quantum Algorithm for Square Root of a Matrix, based on HHL for Linear Systems
Post-Quantum Cryptography (PQC) migration research with VMware Sr. Staff Engineer Dr. David Ott
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Currently Learning:
Practical data engineering including database administration, data warehousing, data pipelines
On deck: data science with cloud computing, distributed storage and processing, AWS SageMaker
Recent Experience
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Sylvan Learning Center
Math Tutor (part-time)
October 2021 - Present
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Hazel Health, Inc.
Manager of Compensation and Total Rewards
February 2023 - September 2023
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University of San Diego
Masters Degree student - Applied Data Science
May 2022 - May 2024 (expected)
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For more:
Please see the Experience page for a comprehensive work history with role descriptions