Bio: Data scientist with a passion for solving problems through analytics. Academic background in mathematics along with a career in professional basketball.
Performed various hypothesis testing to answer questions regarding statistical significance using the Northwind database. Used SQLAlchemy and Python to query and examine the data from the Northwind database in order to perform statistical analysis. Goal was to answer if discounts have a statistically significant effect on the number of products customers order by conducting hypothesis testing.
Predicted and analyzed future stock prices using Monte Carlo simulations. Used pandas-datareader package to scrape historical stock prices of various companies. Calculated CAGR and Annualized Volatility to be fed into a Monte Carlo simulation.