Experience

Genenal Assembly

Feb 2019 - May 2019

Completed General Assembly’s full-time, Data Science Immersive, which included over 500 hours of instruction and professional training. Utilized a hands-on approach to focused on real-world applications of Python, Data Mining, NLP, Supervised and Unsupervised Learning. Developed a portfolio of individually and collaboratively focused in-class projects using: Python to clean and sort Iowa Housing Data to build a model for finding real estate features to predict housing prices with 90% accuracy; Reddit’s API to build a model to predict where comments from 2 subreddits originated using Natural Language Processing.

Google IT Support Professional Certificate | Coursera

This 5 course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. The program will introduced me to troubleshooting and customer service, networking, operating systems, system administration and security.

Codecademy

Introduction to JavaScript including: control flow, objects, arrays, functions, iterators, loops, classes, modules and more. Build front-end web applications from scratch using Javascript

Addtional Experience

I've worked in some of the top hotel chains in the world. Working with companies such as Intercontinental Hotels, Doyle Collection and Hyatt Hotels taught me the level of detail that goes into making a quality finished product, as well as how to relate to people on a human level, understand what is important to the client and what they may have over looked in importance. I bring the same level of care and precision to my work as a data scientist. There is a great bit of humanity that goes into our work and I let that guide my approach.

Portfolio

Multiclassification-NLP

Used Python, SpaCy, NLTK and texblob to crate a classify and categorize words in Huff Post News Articles

MLB Predictor Project

Predicted pitcher ERAs and success of pitches using Statcast data and Bayesian Methods

Reddit NLP Project

Used Reddit’s API to build a model to predict where comments from 2 subreddits originated using Natural Language Processing. The model can take in a whole passage of words and accurately say whether the words come from the r/AmericanDad feed or r/VentureBros.

Project SightVisit

Developed a web application built on Flask that reads the metadata from a photo to download the corresponding Google Street view image and the Zillow real estate info to fill out a FEMA disaster form. SightVisit will empower FEMA damage assessment teams, professionally trained or not, to conduct accurate, consistent, site visits.