Loan Approval Analysis
A short machine learning exercise using loan application and credit history data to predict whether a candidate is eligible for a loan.
I started my academic career as a physics major and took an interest in data and how it was used in a scientific setting. After completing my Bachelor of Science at Adelphi University, I attended Northeastern University to study Data Analytics Engineering, where I learned how data is used in industry today. My goal is to transform how companies use data to make business decisions.
A short machine learning exercise using loan application and credit history data to predict whether a candidate is eligible for a loan.
A database design project in which I create a schema and relational databases for a mock university. The database is populated with students, faculty, courses as well as buildings.
Using the EPA's national air quality data, my group and I examined different aspects of the dataset. We then drew conclusions based on questions we had regarding the data.
Using artificial intelligence techniques I created a Python script that was able to solve Sudoku puzzles.
Using data from the NYPD I determined the major causes for accidents, the locations for frequent accidents as well as the time of day in which most accidents occur.
I am open to data analyst, data engineering and data science positions. If you are interested in my work, feel free to reach out!