Novan Adams -

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Novan Adams Software Engineer / Data Scientist Phone: 4159105509 Address: 1827 Hayes St, San Francisco CA Email: [email protected] I'm currently having a blast in AI development, and I also dig in to front-end and back-end with a variety of frameworks and languages. I've got a passion for the story that data tells as well as how it can be used to solve the biggest questions in science, all the way to AB testing in apps. I've also got a thing for the arts! EXPERIENCE Mondo Staffing November 2019 - Present Contract Software Engineer - Maintenance and creation of new assets, routes, servers, notifications and databases for Family Friendly social media application. - Front-end development and deployment with React - Back-end development with Node.js, Webapp2, Flask, Django - Deployment and Devops with Google Cloud Suite Technologies Used: Flask, Django, Webapp2, React, Cloud SQL(Postgres), Cloud Datastore, Cloud Build, Cloud AppEngine, Firebase Oro Wellness September 2019- October 2019 Machine Learning Scientist - Statistics and research in Machine Learning - Company educational seminars - DevOps (Google Cloud, Docker, Kubernetes) - Back-end Development with (Flask, SQL) Technologies Used: Numpy Matplotlib, Scipy, Seaborn, Flask, Pandas, Keras, Tensorflow,Neural Networks, Node.js, React.js, R- Studio, R-Markdown, Tidyverse, GGPlot Audiobyte, Inc May 2019 - September 2019 Data Scientist - EDA and Baysiean statistical analysis utilizing Python,SQL and R - Probabilistic modeling and statistics based metrics system averaging 200k+ user events per day - Development of statistical language models utilizing LSTM, Char2Vec and LDA for Sentiment Analysis - Business, market reports, and visualizations with R-Markdown and Jupyter Notebooks - Weekly email cron jobs delivering reports and statistics to CPO and engineering team - Dashboards with React.Js, D3 - Dev Ops with AWS EC2,RDS Code Pipeline, Code Deploy, Docker,Firebase - Backend Development and systems engineering with Node.JS and Python Technologies Used: Numpy Matplotlib, Scipy, Seaborn, Flask, Pandas, Keras, Tensorflow, Convolutional Neural Networks,LSTM Networks, Node.js, Koa.js React.js, R-Studio, R-Markdown, Tidyverse, GGPlot, pm2 Spacepost, LLC January 2019 - September 2019 Data Scientist / Software Engineer - Image generation with Generative Adversarial Networks - Data Science speaker at company sponsored meetups - Automated NLP-backed systems for social media content control - Light research in statistical learning methods - Backend systems engineering (Node.js, Golang) - Devops with AWS S3, Docker, pm2 Technologies Used: Numpy Matplotlib, Scipy, Seaborn, Bokeh, Pandas, Keras, Tensorflow, Convolutional Neural Networks, Created using Resumonk - Online Resume Builder Generative Adversarial Networks,LSTM Networks, Gorm, Echo, Node.js, React.js, R-studio Make School August 2018 - February 2019 Data Science Curriculum Developer/Teaching Assistant Collaborated with industry professions and academics to restructure the DataScience and Statistics curriculum to meet industry standards in knowledge and application of statistical methods in Python. -Both taught and assisted in instruction of small (<20 member) classes - Developed custom notebooks and teaching materials for statistical learning methods and probability Technologies Used: Numpy, Matplotlib, Scipy, Seaborn, Bokeh, Pandas, Keras, Tensorflow, Convolutional Neural Networks, Generative Adversarial Networks,LSTM Networks Sage AI May 2018 - August 2018 Data Scientist - Full Scale ETL Pipelines, - Statistics and case studies for finance team - Linguistics and grammar based NLP utilizing LSTM, LDA, Word2Vec - Chatbots and AI utilizing Tensorflow and Keras - Network Analysis Technologies Used: TensorFlow, Keras, Numpy, Pandas, Matplotlib, Flask, Scrapy, Sci-kitLearn, Scipy, Node.js React.js, D3.js Sage AI January 2018 - May 2018 Data Science/Machine Learning Intern - Deployment of Jupyter Notebooks and Jupyter Hub(Including authentication) remotely on AWS server. - Collabortated with Ai team including ML PhD to build, organize, tune and optimize ML pipeline within Python (Flask) architecture Technologies Used: Flask, Pandas, MatPlotlib, Numpy, Sci-kit Learn, Keras, Tensorflow, Oath, s3fs, Dask, Boto3, AWSCLI, SSH, EC2,Buckets, Yonder Dynamics February 2017 - April 2017 Student Programmer - Assisted the GUI and Location teams in developing a graphical interface from which to control a prototyped Mars Rover for a competition. Technologies used: Javascript, HTML, CSS, Node.js, Express, Jade, Prototyped with C# BIOMYX INC June 2015 - June 2016 Web Developer/ Lab Assistant - Started work on Biomyx website (Project suspended due to staff change) - Met twice a week with Lab Manager and owner to discuss project goals, deadlines, challenges and how to better grow in my position. Technologies used: HTML, Bootstrap, NodeJS, Express, Jade Lab Work: - Making , storing and sampling agar plates - Maxi and Mini Prep - Assistance with DNA Analysis XYZ Printing January 2015 - June 2015 Junior Web Developer Assisted in two projects: - 3D4E SDSU: - Fully functional student website built using a custom Wordpress template - Sole developer on the project, worked closely with founder of the club and XYZ management to facilitate a smooth development of the final website Technologies used: HTML5, CSS (SASS), Node.js, Express, SQL - US XYZ Printing website: Created using Resumonk - Online Resume Builder - Updates and maintenance to the Site in general - Interfaced with the rest of the Taiwan based team for coding reviews and QA, - Learned and implemented both basic and mid- level TDD Technologies used: Mocha, Chai.js, JQuery, Angular, HTML, CSS(Bootstrap) EDUCATION Dominican University - Make School 2017 - 2019 Bachelors of Applied Computer Science, Data Science/ Back-End Web Development Javascript: - Node.js (Express.js, Handlebars.js, Jade, MongoDB, Mocha.js, Chai.js, Sequelize) - CSS(Bootstrap, Post.CSS) - React (Redux, React hooks, Immer) -HTML5 Golang: - Gorm - Mgo - Microservices - Iris, Echo, Gorilla Python: - Flask - Django - Scrapy - Algorithm design and analysis Data Science: - Markov Chains - Tensorflow, Keras - Matplotlib, Seaborn, Bokeh - Sci-kit Learn - Databases, Data Analysis & Visualization - Machine Learning - Neural Networks & Deep Learning SKILLS Javascript: React, Redux, Node.js, Mocha.js, Chai.js Express.js, Handlebars.js, Jade/pug, MongoDB, Tensorflow.js Python: Flask, Numpy Matplotlib, Scipy, Sci-kit Learn, Seaborn, Bokeh, Pandas, Keras, Tensorflow Data Science: Bayesian Statistics, Probabilistic modeling, classical statistical learning methods, Convolutional Neural Networks, Generative Adversarial Networks, LSTM Networks R: R-studio, Shiny, Tensorflow, Keras R-Markdown Golang: Gorm, Mgo, Iris, Gorilla, Echo, Microservices CSS: Bootstrap, Post.css, Sass Created using Resumonk - Online Resume Builder