Data Science / HR 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 Houston Downtown
Bachelor of Science in Applied Mathematics - 2014

General Assembly
Data Science Programming Bootcamp, 3mo full-time course - 2021

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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 / scikit-learn / Regression / Classification / Clustering / Neural nets / Keras / Tensorflow

Also - Data visualization / SQL / Natural language processing / Recommender systems / Basic HTML & CSS / Webscraping

Professional

Incentive Plan Design / Executive Compensation / 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

Senior project: Quantum Algorithm for Square Root of a Matrix, based on Harrow/Hassidim/Lloyd algorithm for Linear Systems

At VMware, assisted and drove internal research on Post-Quantum Cryptography (PQC) migration issues with Staff Engineer Dr. David Ott

Recent Experience

  • General Assembly

    Full-time student (40+hrs / week)

    Feb 2021 - May 2021

    This was a full-time immersive programming course to learn the methods and tools of modern Data Science. Including and not limited to:

    • Practical Python, regression, classification, neural nets, PySpark, AWS, webscraping

    • Theoretical frameworks of modern algorithms, e.g. Eigendecomposition, stats distributions

    • Software collaboration via GitHub, hackathons, group projects

    • Creative thinking and constant focus on the why to solve problems using real-world data

  • VMware

    Exec & Equity Compensation Consultant

    Feb 2018 - Feb 2021

    Primary responsibilities:

    • Administering equity (stock) awards for New Hires and Annual refresh

    • Consulting on pay matters for executives, new hires and broad employees

    • Managing cross-functional discussions and projects, financial analyses, general HR tasks

    • M&A work, including acquisition of Pivotal (PVTL)

    • Facilitating and driving internal research on Post Quantum Cryptography (PQC)

    • Working relationships with C-Suite visibility

  • Willis Towers Watson

    Sr. Analyst, Executive Compensation

    Feb 2014 - Feb 2018

    Primary responsibilities:

    • Collecting Top 5 NEO pay from SEC.gov

    • Leading team to create and maintain an Executive Severance database

    • Capturing and reviewing best practices on public Board pay, executive transitions, incentive design structures and more.

    • Parsing individual daily 8-K filings for real-time Executive Pay actions

    • Training and upskilling new team members on processes and tools for analyzing executive pay

Let’s Work Together