Recent computer science graduate with a flair for quantitative analysis and a passion for data-driven innovation. Ready to apply my skills in machine learning and data visualization to contribute to impactful projects. Eager to join a team where collaboration and creativity drive technological advancements.
NYC Real Estate Market Analysis Project
● Conducted a data-driven analysis of NYC's real estate trends using Python (Pandas) and Tableau to identify key factors affecting property values and sales. Insights were derived from NYC Open Data, focusing on property value assessments, sales volume, and preferred property types across boroughs from 2016 to 2022.
Predictive Modeling for NYC Parking Tickets
● Developed a machine learning model in Python to predict excessive parking tickets in NYC.
● Preprocessed data for improved model accuracy and performed feature engineering.
● Utilized classification algorithms for prediction, achieving high accuracy.