I am currently immersing myself in SQL development to solidify my understanding of data structures while providing value in reliability and accessibility of data. My goal is to expand this scope into a machine learning role, leveraging my understanding of data governance principles and firm-specific data structures to train accurate and effective models.I enjoy researching and discussing logistics, healthcare, and finance. My passion project is a stock/Forex/crypto/futures trading algorithm ecosystem, where I manage the entire stock trading process: - Design, Build, and Manage ETL pipeline(s) using API suites from market data providers - Store the data: from 2021-2022, I was using .csv and .pkl files; in 2023 I transitioned to a SQL database - Perform analysis on the data: (usually) Jupyter notebooks, (occasionally) excel - Generate buy/sell signals - Place Trades using broker APIsI started down this journey on January 1, 2021, when I decided to invest my time in creating generational wealth while recovering from COVID.My professional career has deepened my passion for data science, as I have been fortunate to see how experienced business leaders make decisions and articulate them to internal and external parties. I am beyond grateful for where I am today, and I am inspired to grow and develop moving forward! I am currently pursuing a Master's Degree in Machine Learning at Georgia Tech.
Listed skills include Corporate Law, Commercial Litigation, Legal Research, Negotiation, and 15 others.
