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Keith Wiley

Data Scientist @ Seattle Sport Sciences, Inc.

Data Scientist at Seattle Sport Sciences, Inc.

Seattle, Washington

Ranked #139 out of 2,779 for Data Scientist in Washington

Section title

Keith Wiley's Email Addresses & Phone Numbers

Keith Wiley's Work Experience

Seattle Sport Sciences, Inc.

Data Scientist

Redmond, Washington

Integris Software

Senior Software Engineer

October 2016 to December 2017

Seattle

University of Washington, Department of Astronomy

Research Scientist IV

February 2010 to January 2012

Keith Wiley's Education

The University of New Mexico

M.S., Computer Science

1999 to 2003

The University of New Mexico

PhD, Computer Science

1999 to 2006

University of Maryland

B.A., Psychology

1993 to 1997

Keith Wiley's Professional Skills Radar Chart

Based on our findings, Keith Wiley is ...

Inspiring
Self-reliant
Thorough

What's on Keith Wiley's mind?

Based on our findings, Keith Wiley is ...

56% Left Brained
44% Right Brained

Keith Wiley's Estimated Salary Range

About Keith Wiley's Current Company

Seattle Sport Sciences, Inc.

Design and implementation of player performance data acquisition systems and associated data analytics pipelines.

Frequently Asked Questions about Keith Wiley

What company does Keith Wiley work for?

Keith Wiley works for Seattle Sport Sciences, Inc.


What is Keith Wiley's role at Seattle Sport Sciences, Inc.?

Keith Wiley is Data Scientist


What is Keith Wiley's personal email address?

Keith Wiley's personal email address is k****[email protected]


What is Keith Wiley's business email address?

Keith Wiley's business email address is k****[email protected]


What is Keith Wiley's Phone Number?

Keith Wiley's phone (206) ***-*118


What industry does Keith Wiley work in?

Keith Wiley works in the Sports industry.


About Keith Wiley

📖 Summary

Data Scientist @ Seattle Sport Sciences, Inc. Design and implementation of player performance data acquisition systems and associated data analytics pipelines. Redmond, WashingtonSenior Software Engineer @ Integris Software Distributed data pipeline development of a tech startup’s nascent flagship product. From October 2016 to December 2017 (1 year 3 months) SeattleResearch Scientist IV @ University of Washington, Department of Astronomy Work in the LSST group (under Andrew Connolly) on the development of massively parallel image processing routines using Hadoop. Work focused on image coaddition, wherein multiple partially overlapping images are registered, stacked, and mosaiced into a single uniform result. Our test dataset was the SDSSDB, 30TB comprising 4 million images, with future applications to LSST (60PBs). Our test cluster (NSF CluE) housed 892 machines providing 700TB storage and 3568 concurrent processes. From February 2010 to January 2012 (2 years) Software Engineer IV @ Univ. Washington - Applied Physics Laboratory Proj. 1: Sonar Simulation Toolkit (under Robert Goddard), an eigenray model of underwater acoustics: Incorporation of external libraries, OO design, feature development, optimization/performance- redesign, refactorization, unit-testing. Proj. 2: a real-time data-acquisition/FFT-processing system with low data-loss tolerances, rapid throughput, and amenability to future parallelism. From April 2007 to January 2010 (2 years 10 months) Science Advisor @ Lifeboat Foundation [DATE RANGE NOTE] This is an ongoing project (Jan. 2011-present), without a real end-date. I altered the date range shown to push this position below my software/data work experience on LinkedIn's sorted work history list. From January 2006 to December 2006 (1 year) C++ Software Developer @ The Institute for Genomic Research Bioinformatics software development for DNA sequencing and closure analysis. From September 1997 to August 1999 (2 years) Senior Software Engineer & Data Scientist/Engineer @ Atigeo Developed Hive/MapReduce/Spark Python modules for ML & predictive analytics in Hadoop/Hive/Hue on AWS. Implemented a Python-based distributed random forest via Hive and Python streaming. Pipelined (ingest/clean/munge/transform) data for feature extraction toward downstream classification.Primary designer/developer of a scikit-learn based random forest & ensemble ML pipeline for cross-fold-validated predictive analytics, including insight via feature importance exposure. Performed statistical analysis and visualization of ML results via ROC curves & AUC.Onboarded multiple new hires to assist them in familiarizing with our vast and complex data pipeline and suite of databases and tables.Primary designer/developer of a pipeline that ingests/catalogs/stores/analyzes new datasets with final analytics/visualization. This project implemented an SOW whose completion was the keystone of a seven-figure contract. From August 2013 to September 2016 (3 years 2 months) BellevueBig Data Engineer, Consultant @ Slalom Consulting Development of numerous in-house demos of big-data processing methods using Hadoop and Hive. Some projects involved web UIs which would use PHP to drive back-end Hadoop jobs and then present processed results in a web interface. One project used OpenLayers to present dynamic geo-tagged data overlayed on a map. Another project ran a powerful (and novel) Twitter search-and-filter engine through a web UI.Work on the National Mobility team (under Jeff Rubingh) and the National BI team (under Kevin Gregory) developing big data processing techniques. Work focused on MapReduce and Hive solutions, using Cloudera on Tier 3 and Hadoop-on-Azure, processing CRM, NY MTA, Linked-In API, and Twitter API, with some visualization via OpenLayers. From January 2012 to July 2013 (1 year 7 months) SeattleBig Data Engineer, Consultant (via Slalom Consulting) @ Expedia Initially on a MongoDB project, I then transferred to a project focusing on Hadoop/Hive on AWS, using both EMR and nonEMR-Hadoop in EC2. Tasks include data synchronization between EC2 and S3, Hive stand-up, and AWS profiling. Notable accomplishments include Hadoop 2.0/YARN EC2 deployment. Amazon's own engineers were curious about my progress.AWS/EC2/EMR/S3 Hadoop/Hive deployment: Design of data-pipelines through which incoming back-end data is processed into .csv files, stored in S3, and then loaded into both EMR and nonEMR Hadoop clusters on EC2 for further automated processing/reduction and also for ad hoc data analytics. From December 2012 to June 2013 (7 months) Bellevue, WAFounder, Sole Proprietor @ Badlands Watches [DATE RANGE NOTE] This project ran from Aug. 2013-Dec. 2015. I altered the date range shown to push this position below my software/data work experience on LinkedIn's sorted work history list.In addition to my primary work in software (big data and predictive analytics at the time of this writing) I also make and sell mechanical watches as a sole proprietor through Badlands Watches. Check it out: http://badlandswatches.com . From January 2006 to December 2006 (1 year) SeattleAdvisor @ Brain Preservation Foundation [DATE RANGE NOTE] This is an ongoing project (Oct. 2014-present), without a real end-date. I altered the date range shown to push this position below my software/data work experience on LinkedIn's sorted work history list.I participate in a monthly phone conn of board members and advisors. This meeting updates the group on the status of the foundation's X-prize candidates and research, and takes input and discussion from the group on how to move the foundation forward productively and efficiently. From January 2006 to December 2006 (1 year) Creator @ Movie Hurl http://moviehurl.com[DATE RANGE NOTE] This is an ongoing project (Oct. 2008-present), without a real end-date. I altered the date range shown to push this position below my software/data work experience on LinkedIn's sorted work history list.A perl-implemented, server-side-processed website that gathers user ratings of the “shaky-cam” movie effect. Generic ratings are offered as a weighted average of anonymous submissions, while personalized predictions are offered by correlating user-to-user ratings across overlapping subsets of the data. See publicity in a New York Times article at http://well.blogs.nytimes.com/2015/11/14/feeling-woozy-it-may-be-cyber-sickness . From January 2006 to December 2006 (1 year) SeattleResearch Assistant @ University of New Mexico 6 semesters teaching assistant for 2nd/3rd semester C++.1 semester course instructor for "Data Structures/Algorithms", taught in C.3 years PhD research developing Druid, a 2 1/2 D vector drawing program for representing interwoven surfaces. From 2001 to 2006 (5 years) Communications Director @ Carbon Copies [DATE RANGE NOTE] This is an ongoing project (Jan. 2016-present), without a real end-date. I altered the date range shown to push this position below my software/data work experience on LinkedIn's sorted work history list.I assist Carbon Copies in collaborations with related organizations, such as the Brain Preservation Foundation. I also serve as one of the thought leaders to help the organization choose projects, set organization direction, and generally guidance. From January 2006 to December 2006 (1 year)


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In a nutshell

Keith Wiley's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 9 month(s)

Keith Wiley's Willingness to Change Jobs

Unlikely

Likely

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Keith Wiley's Social Media Links

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