Apr 2019
AWS Redshift Cluster Analysis
Extracted data from ZAGI database in PostgreSQL server, load into AWS S3, then Redshift using Python
PostgreSQL, Python, S3, Redshift
Analyzed time-series data of stocks for stock returns, volatility calculations, OLS, back testing, predictive, along with quantopian research.
Python
Extracted data from ZAGI database in PostgreSQL server, load into AWS S3, then Redshift using Python
PostgreSQL, Python, S3, Redshift
Analyzed tweets of 2020 Democratic Presidential Candidates from Apr 4-11 uniformly by state, and tweets from the candidates' personal Twitter accounts from Nov 1 - Mar 31
R
Multilayer perceptron (feed forward neural network) with hidden layers on iris dataset; CNN for image classification in MNIST, SVHN, and pet dataset
Employed machine learning, ensemble, and statistical analysis for feature selection and tuned models for predicting heart disease with 93% accuracy