Joel Lowery Email & Phone Number

Bothell, WA, US

Bothell, WA, US

- Coaching, mentoring, and directing the team of data scientists and engineers- Communicating with company management to determine top priorities and translating business agendas into technical action items for the data science and engineering team

Bothell, WA, US

- Helped to hire, onboard, and mentor new data scientists and engineers- Built out new data engineering pipelines using Airflow to support thorough backtesting of our machine learning models and expanding our product offering into new geographic areas which enabled the company to quadruple it’s revenue

Bothell, WA, US

- Joined the team as the first full-time, non-founding, technical employee, reporting directly to the CTO (co-founder)- Created an automated system leveraging Luigi, Jenkins, MySQL, and Python for building models, obtaining predictions, and distributing the resulting core product to clients - Implemented model improvements that led to a 100% increase in.

Northbrook, IL, US

- Leading a team to expand the Python package I built for feature extraction on terabyte-scale driving data using Spark- Performing analyses and liaising with business and technology partners to provide actionable insights (impacting insurance pricing for hundreds of thousands of customers)- Defining requirements for engineers to productionalize machine.

Northbrook, IL, US

- Built regression models (including generalized linear models and gradient boosting machines) to predict risk using driving characteristics and behaviors in support of usage-based insurance- Designed and implemented a Python package, utilizing Spark, to perform rapid feature extraction on tens of terabytes of driving data to build reproducible datasets.

Lexington, KY, US

- Analyzed next-gen sequencing data via a Python pipeline I developed to quantify expression of targetsequences to verify their role in age-related macular degeneration (AMD)- Performed analysis using R to determine expression differences between AMD and control samples

Northbrook, IL, US

- Utilized PySpark to create new predictive variables from over 1 billion records of vehicle acceleration and demonstrated improvement of machine learning models created in R to predict loss from insurance claims using driving behaviors- Clustered users’ driving routes, created multiple metrics for describing familiarity with a route, and analyzed relation.

Liverpool Street, England, GB

- Located data sources and automated data scraping routines to obtain data for model building- Built a regression model using R to predict electric power production- Planned and developed Java code to implement the model’s predictions as a new product

St. Louis, MO, US

• Independent research on Department of Energy project to identify algae genes involved in lipid production utilizing RNA interference for potential application to biofuel production
• Modified a series of plasmids to create a strain of algae with an inducible system of expression

Master Of Science (M.S.), Computer Science

Bachelor Of Science (B.S.), Biomedical Engineering

Education record