After some work experience being in the data and database spaces after my undergraduate degree, I decided I wanted to do more interesting things with data and also teach higher education, so I went back to school and earned my PhD in Informatics. Now I enjoy doing full stack data science, from data ops to predictive modeling, using a slew of technologies and techniques. I give back to the community by teaching adjunct the next generation of data scientists at the University of Missouri, my alma mater: https://dsa.missouri.edu/faculty/tim-green/

• Python, R
• Snowflake, Postgres
• scikit learn, etc
• AWS platform: SageMaker, Kinesis, Comprehend, et. al

Below you can find some contributions to the community (some may be works in progress). I've begun using Notion to track my thoughts, so someday those things might make it into here.

• LSTM RNN with variable length training data for the prediction of tire pressure in a TPMS system on over the road trucks.
• Efficiency of loading data into snowflake using JSON structures