I have an educational background in Mathematics and Systems Engineering. For work, I find elegant and efficient ways to manage and understand unreasonably large and complex data.
GitHub is an outlet for my curiosity. I have a lot of half-baked Python / Vue3+TS projects laying around.
- Tailor your Resume to a job description, and get insights on how well your bullet points align with the job description (Repo)
- summands (repo), a game about addition pyramids with unique values.
- Abuse function decorators to make row-level logic easier in pandas (and other Kaggle-inspired insanity)
- Write really high-level web-scrapers which work across different HTML structure and Demo: Scraping Senate Press Releases
- Turn an Adafruit NeoPixel Trinkey into an instant kill switch for linux machines
- Generate some headlines in the style of The Onion locally using distil-GPT2
- Demo script for a live-updating dataframe displayed on the web using streamlit
- Learn an "empirical" ordering of sequence elements from a large dataset of sequences (useful for process mining)
- Turn a nested directory of Lyft Ride Reciepts in
.eml(email file) format into python records (pure python, no dependencies) - Compute the edit distance for two sequences with an equivalence class defined over the elements
- Deduplicate records for CVE candidates using TfIdf
- Generate star-wars puns using NLTK