Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Primary Focus: Data Analytics
Additional Skills: Customer Service • Python • Tableau
Hire me because
I am a skilled, innovative data scientist with six years of military experience in data analysis as a weather forecaster. I have ample experience working with real-world data to create forecast models, and find patterns. Through experience, I have honed my skills in communication, teamwork and leadership. After 600+ hours of intense project based learning with experienced instructors, I am confident I would be a great asset to any team.
My Capstone Project: NY Restaurant Health Inspection Prediction
In New York City, making informed decisions about dining out is crucial. Our project leverages New York Open Data and Socrata’s API to integrate health inspection reports, 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.