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

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Mathematician, Data Scientist, Business Professional

Mathematician, Data Scientist, Business Professional

An Astros fan in the SF Bay Area

Recent Coding Projects

  • 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

    GitHub repo

    Presentation talk

    Streamlit app

  • 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

    GitHub repo

    Original dataset

  • 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?

    GitHub repo

Skills

  • 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

  • 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

  • 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

  • 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

  • Sylvan Learning Center

    Math Tutor (part-time)

    October 2021 - Present

  • Hazel Health, Inc.

    Manager of Compensation and Total Rewards

    February 2023 - September 2023

  • University of San Diego

    Masters Degree student - Applied Data Science

    May 2022 - May 2024 (expected)

  • For more:

    Please see the Experience page for a comprehensive work history with role descriptions

Let’s Work Together