Ryan Solava Email & Phone Number

Chicago, Illinois, United States

Completed a 28-week intensive data science and machine learning bootcamp. Topics included exploratory data analysis, web scraping, regression, classification, natural language processing, deep learning, and data engineering. Selected projects include:Building a data pipeline for a board game recommender- Scraped data for over 100,000 games using Selenium and Beautiful Soup- Stored and accessed the data using SQL- Built an interactive web application with Streamlit to recommend games using a custom similaritymeasureFiltering toxic comments on social media-Preprocessed the text documents by cleaning, lemmatizing, and creating a document term matrix(TFIDF)-Performed topic modelling and dimensionality reduction, and fed the results into a tree-basedclassifier-Iteratively improved upon these results with a variety deep learning models which involved feedforward neural networks, RNNs, and transfer learning all using kerasExamining hit and run accidents in Chicago-Performed data analysis and feature engineering on data from multiple sources-Visualized findings with matplotlib and Seaborn, and GeoPandas for geospacial data-Trained and compared a variety of classification models including XGBoost and other tree-basedmodels using sklearnWhere have our players gone? Predicting user churn and retention from chess.com-Processed the data with Python, Pandas, and Excel-Developed and pitched a proposal that considered financial and other benefits to the company,limitations, and potential pitfalls-Displayed the results with interactive visuals through Tableau

- Taught a variety of courses in both math and computer science including an introduction to programming (in Python), data structures (in Java), calculus (including multivariate calculus), and graph theory. - Advised multiple projects with undergraduate students each year. Topics included: decision trees, recommender systems, graph theory-Spearheaded assessment reform throughout the college, streamlining how data was collected to facilitate data based improvements to the curriculum

Nashville, Tennessee, United States

-Researched, wrote, and defended my dissertation, details below.On the Fine Structure of Graphs Avoiding Certain Complete Bipartite Minors-Wrote a Python programs to generate all graphs with a given property up to some size (about1,000,000 graphs generated), and to verify their structure.-Built on known results to develop a mathematical proof, a rigorous chain of reasoning,demonstrating the desired result-Communicated these technical results to people with a variety of backgrounds through both writing and presentation- Taught two courses and served as teaching assistant many times.

Doctor Of Philosophy - Phd, Mathematics

Bachelor'S Degree, Mathematics And Computer Science