Welcome
Hello, my name is David Shirley and I am a Data Engineer/ML Engineer/Software Engineer. I studied at Hofstra University with a major in Information Systems and minor in Computer Science, after college I went to Flatiron School for a more focused study in data science. After finishing Flatiron I worked at S&P Global as a Cloud Security Data Engineer and am currently looking for a new position as a Data Engineer/ML Engineer/Software Engineer.
Resume
DAVID SHIRLEY
631-707-6816 • davidkentshirley@gmail.com • linkedin.com/in/david-kent-shirley/
github.com/DavidKentShirley • davidkentshirley.medium.com/
Data ENGINEER
Data Engineer with experience in data acquisition and data modeling, statistical analysis, machine learning, deep learning, and NLP. Background in information systems and computer science, bringing strong skills in project management and detail orientation to help with company analysis and drive positive results with beneficial impacts.
SKILLS
Python | Spark | SQL | FastAPI | Django | AWS | SQL Data Bases
NoSQL Databases | Linux | Azure | Pandas | Numpy
Professional Experience
S&P Global, New York, NY Nov 2021 – Sept 2022
Cloud Security Data Engineer
Hired to create backend application to enhance cloud security of on-prem and offsite cloud servers.
Developed machine learning insights solution feature to a graph database security tool.
Designed, built and maintained data collectors for all cloud related security information.
Documented all projects and designs schemes for anything that I was developing or maintaining within the company.
Developed automation such as CI/CD MLOps pipelines using cloud native tools for the purpose of data delivery and advanced analysis on datasets.
Freelance Technical Projects
Pet Store Location Analysis - GitHub
To locate the most optimal spot to open a new Pet Store in Manhattan or Queens NY.
Utilized the Yelp Fusion API to make calls and pull data with the business information from hundreds of pet stores and making panda data frames from the JSON responses.
Closely examined the dataset features to perform data cleaning and feature engineering using pandas and NumPy.
Built interactive map with pet store location using the folium mapping library.
Kings County Price Predictor - GitHub
Given a dataset of past Kings County house sales to predict house prices using the features within the dataset.
Featured engineering and data cleaning using pandas and NumPy.
Statistical analysis using features to see if they have statistical significance using different tests such as T-Test, Anova, Chi-Squared.
Model building using Scikit-learn (Linear Regression).
Gender Classification - GitHub
Using thousands of images of Men and Women in order to predict what gender they are. When given an image of a person to be able to make the prediction if they are Male or Female.
Used classification models and image transformations to classify images given to the model with Scikit-learn.
Modeled pipelines and grid search to get the best hyper-parameters and performance for different models.
200,000 images to transform and learn from a Kaggle dataset of Male and Female images.
EDUCATION
BBA | Information Systems, Hofstra University, Hempstead, NY, Dec 2019
Certificate | Data Science, Flatiron School, New York, NY, Aug 2021