Joel Lowery Email and Phone Number
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My passion lies in delving into complex problems that live at the intersection of programming, data and math. With over seven years of experience writing code to extract and distill insight from high volumes of complex data, I have built a breadth of diverse experiences including predicting risk based on driving characteristics, analyzing genetic data to determine links to disease and predicting energy production levels.
Audantic | Real Estate Data & Analytics
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Chief Information OfficerAudantic | Real Estate Data & Analytics Jul 2021 - PresentBothell, Wa, Us
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Lead Data ScientistAudantic | Real Estate Data & Analytics Mar 2020 - Jul 2021Bothell, 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
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Senior Data ScientistAudantic | Real Estate Data & Analytics Oct 2019 - Mar 2020Bothell, 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
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Data ScientistAudantic | Real Estate Data & Analytics Jul 2017 - Oct 2019Bothell, 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 model performance over baseline
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Data Scientist IiAllstate Feb 2017 - Jul 2017Northbrook, 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 learning models, providing test cases, and verifying implementation accuracy- Composing and conducting Python training sessions for new data scientists and data engineers -
Data Scientist IAllstate Jan 2016 - Feb 2017Northbrook, 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 for modeling and scoring of existing models- Communicated analyses and results clearly to both technical and non-technical audiences through combinations of verbal, written, and visual methods
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Graduate Research AssistantUniversity Of Kentucky Dec 2013 - Dec 2015Lexington, 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 -
Data Scientist InternAllstate May 2015 - Aug 2015Northbrook, 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 of familiarity to driving safety
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Research Scientist, R&D InternGenscape, Inc. May 2014 - Aug 2014Liverpool 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 -
ResearcherWashington University School Of Medicine May 2010 - Aug 2012St. 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
Joel Lowery Skills
Joel Lowery Education Details
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University Of KentuckyComputer Science -
Washington University In St. LouisBiomedical Engineering
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Trinity High School
Frequently Asked Questions about Joel Lowery
What company does Joel Lowery work for?
Joel Lowery works for Audantic | Real Estate Data & Analytics
What is Joel Lowery's role at the current company?
Joel Lowery's current role is Chief Information Officer at Audantic | Real Estate Data & Analytics.
What is Joel Lowery's email address?
Joel Lowery's email address is jo****@****tic.com
What schools did Joel Lowery attend?
Joel Lowery attended University Of Kentucky, Washington University In St. Louis, Trinity High School.
What skills is Joel Lowery known for?
Joel Lowery has skills like Python, R, Sql, Spark, Hadoop, Programming, Java, Algorithm Analysis, Data Analysis, Machine Learning, Database Design, Data Science.
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