Jared Keown

Background

About Jared Keown

Data scientist with experience in big data, statistics, and machine learning | Problem-solver with a track record of creating useful solutions to challenging problems | Life-long learner with a passion for explaining science to non-technical audiences | Data and Statistics: 11+yr experience applying statistical methods to data: regression models, hypothesis testing and confidence intervals, Monte Carlo methods, algorithms, database querying & management, pipelining, Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS), Hadoop, K8S Machine Learning: 8+yr experience training, validating, and implementing ML models: deep neural networks (convolutional, fully-connected, graph; 1D & 2D; classification & regression), random forests, dendrograms, explainability, LLMs Programming: 11+yr experience programming: Python (scikit-learn, numpy, scipy, pandas, plotly, mlflow, prefect, dask-yarn), Keras, Tensorflow, SQL, Terraform, Linux, Git, CI/CD, Docker, parallel processing Communication: 10+yr experience public speaking, writing (papers, reports, articles, patents), & presenting results Design: 10+yr experience designing posters, graphics, dashboards, and presentations (LaTeX, PowerPoint)