Starting off as a busser allowed me to learn the dynamics of a interconnected work system. You not only have to take care of your required duties, but also facilitate communication and assist others in their work. This established the notion of teamwork and collaboration, which will heavily be regarded in future jobs.
Machine Learning Specialization: Coursera
NLP + Finance:
Used different algorithms/models to predict financial text data sentiment. These sentiments can further be used to predict stock market trends. The different models used were logistic regression, LSTM(Long, Short term memory), and Google's BERT. Python programming libraries and machine learning techniques were utilized.
Bay Area Hacks 2.0 Overall Group Winner
Created a website called Active Citizen that enabled users to input their local address to see information about upcoming elections. Link to youtube video: https://www.youtube.com/watch?v=eP5gUHMBK4Y