Adam Roth

Bellevue, WA, ***** 425-***-**** adhnqe@r.postjobfree.com GitHub: github.com/Booandlean LinkedIn: http://linkedin.com/in/adam-roth-620634189

Data scientist and graduate of top-ranked technical school. Experience in data acquisition and data modeling, statistical analysis, machine learning, deep learning, and NLP. With a background in mathematics, I bring strong skills in cooperative programming and data analytics that help companies produce better predictive models and analysis of their data to give them a better understanding for where and how to allocate their resources.

TECHNICAL SKILLS

Python, Java, OOP, SQL, Scikit-learn, Pandas, NumPy, Keras, Tableau, Seaborn, Matplotlib, ArcGIS, SPSS

TECHNICAL PROJECTS

Dog Breed Image Classification - Github: https://github.com/Booandlean/Fe_Final_Project

This project is an image classification model that takes in images of dogs and identifies the breed of said dog.

●Obtained 20.6k images of 120 different dog breeds from Stanford University.

●Used the os and shutil python libraries to divide the dataset into train, test, and validation folders.

●Used keras and tensor flow to create CNN’s to create and tune image classification models.

NLP---Twitter-Sentiment - Github: https://github.com/aspotter99/NLP---Twitter-Sentiment

This project was to create an NLP model that can take in the text of tweets and predict if the tweet has positive, negative, or neutral sentiment

●Obtained 8.7k tweets about Google and Apple products for analysis.

●Removed stopwords and punctuation, then tokenized the tweet text using python to leave meaningful words.

●Utilized lemmatization to strip words down to their most basic form

●Used binomial naive bayes classification to produce the final model.

Telco Customer Churn - Github: https://github.com/Booandlean/Telco_Customer_Churn-

Brief description of the project’s functionality and purpose

●Obtained churn data of 7k from customers of the Telco company for analysis.

●Manipulated the data with python and the scikit learn library to encode and scale the data for machine learning.

●Created predictive models to be able to better predict customer churn and to better understand why customers may leave to better allocate resources to maintain them.

EMPLOYMENT HISTORY

Data Science Apprentice, Flatiron School, Kirkland, WA 05/ 2020 - 08/ 2020

●Utilized SQL and Pandas to manipulate and analyze datasets.

●Used tools from Scikit-Learn and Keras to create predictive models for business applications.

Seafood Clerk, Fred Meyer, Kirkland, WA 06/ 2017 - 03/ 2020

●Successfully ordered all products and managed inventory while managing sales in absence of my layed off manager to avoid loss of department revenue.

●Trained new hires in knife safety and use, customer service skills, and management of inventory and goods to best prepare them for work.

Undergraduate Research Assistant, University of Washington Medical Center, Seattle, WA 06/ 2015 - 05/ 2017

●Logged and transcribed vital signs from birth data and organized blood and plasma samples from willing participants to gain insight on newborn children to reduce the chance of post birth oxygen deprivation.

EDUCATION

Flatiron School, Seattle, WA 05/ 2020 - 08/ 2020

Immersive Data Science Bootcamp program

University of Washington, Bothell, WA 03/ 2020

Bachelor’s in Mathematical Thinking and Data Visualization

Contact this candidate