Hello and welcome to my personal GitHub!
I'm currently exploring:
- NLP and LLM applications
- Check the arXiv Explorer repo and related streamlit app
- Expanding on the above work, working towards a potential journal publication on trends in academic research over time
- Machine Learning algorithms and techniques for Graduate School projects
- e.g. regression, classification, clustering, neural nets, Random Forest, Decision Trees, KNeighbors, Keras / Tensorflow
- e.g. gridsearching to tune parameters, dimensionality reduction techniques, time series analyses
- Structure and mathematics of Executive Compensation practices for publicly-traded companies
- Data pulled from SEC.gov filings
- Philosophical considerations, governance mechanisms, unintended consequences
- Quantum computing libraries
- e.g. Qiskit, Cirq, pyquil (soon)
My education background is Applied Math and Physics, including quantum and statistical mechanics (shout-out to the Boltzmann Brains). I will complete a Master's Degree in Data Science in April 2024. I have professional experience in HR and Executive & Equity Compensation roles, marketing research, and the most love for natural and quantitative sciences.
Thanks for visiting! Please have a look around.