RYAN ZERNACH
MACHINE LEARNING ENGINEER
MAKING THE IMPOSSIBLE
POSSIBLE
PORTFOLIO
▻ Iteratively improved Natural Language Processing (NLP) predictive models
▻ Developed a Collaborative Filtering model based on user ratings
▻ Created back-end Python API’s with Flask on AWS’s Elastic Beanstalk to facilitate post requests
▻ Launched a PostgreSQL instance on AWS RDS to store millions of GoogleBooks data
▻ Collaborated on a team of data scientists, iOS developers, web developers, and UI/UX designer
▻ Deployed a front-end user interface for user to interact with a predictive pricing model via Flask & Heroku
▻ Based on 9 million 2018 United States domestic flights.
▻ Tediously gathered 27M rows of data, arduously wrangled/cleaned to 9M, uploaded data to Kaggle
▻ Generated numeric visualizations to illustrate feature importances, distribution, and variances
▻ Built an app for the user to control light switches & thermostats with their brain & machine learning
▻ Built RESTful back-end Python API with Flask: communicate with EEG device, detect brain patterns
▻ Connected with Spotify’s API to harvest data (and metadata) about the songs in their database
▻ Built a couple of back-end Python API’s to return predicted songs data to front-end
▻ Collaborated on a team of three data scientists and three web developers
▻ Did you know that there are over 180,000 glaciers on Earth? What is a glacier?
▻ Data exploration, story-telling with data, and unique data visualizations/analysis
▻ Combined data science with visual communication, moving GIF files, and graphic design
▻ A diverse array of data visualizations that I've created throughout my coding career
▻ Includes bar charts, line charts, scatter/cluster plots, heat maps, word charts, geographic maps, and more!
TECH STACK TUTORIALS
WRITTEN BY: RYAN ZERNACH
I've been working hard towards my official TensorFlow Certification! What tools have I been using to study?
Which machine learning algorithms did I learn to use in Lambda School and when are the most appropriate times to use them?
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