Advancing Healthcare with PyTorch – Disease Analysis using Deep Learning Models
Disease Analysis in the United States - to gain meaningful insights from the disease data
Healthcare
Portfolio Management Using Python for Healthcare Stocks
Built a portfolio using Modern Portfolio Theory (MPT) with one-year data [2020], calculated Value at Risk (VaR) and Conditional Value at Risk (CVaR) at a 99% confidence level for each trading day and week, forward tested the portfolio with the next year's data [2021], conducted hypothesis testing on the calculation described in step 3, and compared the results to the market benchmark - S&P 500, with returns presented in percentage and annualized.
Business Data Analyst
Xerox Business Services (US Health & Welfare)