Ryan Keeney
Ryan Keeney (he/él) is a data scientist who enjoys helping others investigate, analyze, and build solutions for critical business decisions. He holds a graduate degree in data analytics Georgia Tech and a bachelor’s degree in mechanical engineering from the University of Michigan, Ann Arbor. When he’s not pursuing a data science project, Ryan enjoys teaching, volunteering, and traveling with his family. He is an proud ally and has been involved in projects furthering equality and access to education, healthcare, and human rights in the United States and internationally since 2013.
Education
Georgia Institute of Technology | Atlanta, GA
Master of Science in Analytics | January 2021 - December 2022 | Reference Projects
University of Michigan | Ann Arbor, MI
BSE in Mechanical Engineering | Sept 2009 - April 2014
Experience
FF Astronauts | Director of Data Analytics | June 2020 - Present
American School of Asuncion | Math and Science Teacher | July 2021 - June 2022
John Deere | Design Engineer, Product Marketing Manager | May 2014 - June 2020
Additional Experience | Chrysler FIAT, Toyota, Commnet, Gates Corporation
Skills and Tools
Interested in working with Ryan? Connect with Ryan through email or LinkedIn.
Ryan has experience with various supervised, unsupervised, and reinforcement learning techniques and as applied various statistical and machine learning techniques to supervised, unsupervised, and reinforcement learning tasks. He also has experience in simulation, Bayesian statistics, and presenting to C-level stakeholders.
| Supervised Learning | Unsupervised Learning |
|---|---|
| Linear regression, multiple-linear regression, logistic regression, LASSO, ridge regression, elastic net, decision trees, random forest, SVM, KNN, neural nets, boosted gradient trees, kernel-based methods, time-series analysis, anomaly detection, forecasting, deep learning for image and NLP applications. | K-Means, hierarchical clustering, spectral clustering, network graph analysis, ISOMAP, PCA, density estimation. |
Tools: Advanced in R (Tidyverse, Tidymodels, Shiny, ggplot), Python (NumPy, Pandas, SciPy, SciKit-learn, PySpark) | Proficient in multiple SQL languages, AWS EC2 Computing, BUGS, ARENA | Experience in HTML/CSS, MATLAB, Spark, Tableau, Azure, Databricks, D3
Languages
Fluent in English, Conversational Proficiency in Spanish
Awards
John Deere Innovation Award (2019), Serving our Communities (2016), Mike Schmidt Memorial Baja SAE (2013)