I am currently a University of Iowa graduate student studying finance and business analytics.
I enjoy learning and using new methods to better understand complicated datasets and difficult questions.
Below you will find some of my projects.
Project to predict the price movement directions of Dow Jones 30 using sentiment scores and stocks' performance metrics. This project includes analysis to determine
relationships between, and trends related to, variables, and machine learning algorithms to predict the directions of stock prices.
Language used: Python
Data science project to predict whether two people on a speed date would match, given a preliminary survey. The project includes exploratory analysis
of preliminary survey variables, testing of machine learning algorithms, and the eventual use of a random forest for classification. The model was used
to maximize hypothetical profits--for a restaurant hosting a speed dating event--using a profit curve.
Programs used: Excel and Orange
Firm valuation using financial statements and DCF, EP, and DDM Models to estimate Home Depot's current share price. The evaluation includes an
Excel file, which shows how we used historical data and the financial statements to forecast the company's future value. The report includes our
assumptions, findings, and recommendation.
Program used: Excel
Data analysis on internet service survey data to identify trends and determine which factors significantly affected users' monthly prices.
This analysis includes data visualization, supervised and unsupervised learning, some user-defined functions that could be used by those looking to
compare their current internet speeds and prices to others, among other things.
Language used: Python (Jupyter Notebook)