Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Primary Focus: Machine Learning
Additional Skills: C++ • Java • Python
Hire Me Because
I bring a strong technical foundation in Python, MySQL, and data science, combined with a passion for solving complex problems. My adaptability and expertise in machine learning make me a valuable asset for data-driven projects.
“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.”
~ Dan Heath
My Capstone Project: New York Health Inspection Prediction
In New York City, making informed decisions about dining out is crucial. This project leverages New York Open Data and Socrata’s API to integrate health inspection reports and Google reviews from Google Maps. By analyzing this information, we predict restaurant health inspection outcomes and sentiment on reviews, providing valuable insights for safety and informed choices. Whether you’re a foodie, a concerned parent, or a health-conscious individual, our platform helps you make better decisions about where to dine in NYC.
“With technology, I am most passionate about harnessing the ability to utilize computer science and data science to uncover and solve complex problems in an evolving, dynamic era of technology, where adaptability is essential for driving meaningful impact in our world and communities.“