Kevin Steele

Kevin Steele Email and Phone Number

Data @ Golden State Warriors @ Golden State Warriors
Kevin Steele's Location
New York City Metropolitan Area, United States, United States
Kevin Steele's Contact Details
About Kevin Steele

Languages: Python, SQL, Unix/Linux, R, STATACloud Providers:AWS, GCPTechnologies: Redshift, Snowflake, BigQuery, Hive, Presto, Kinesis, Lambda, DataProc, Dataflow, EMR, EC2, S3, GCS, PostgreSQL, DynamoDB, ElasticSearch, GraphQL, SNS, SQS, Pub/Sub, Redis, Tableau, Looker, Jupyter, Airflow, Kubernetes EngineData Engineering Frameworks:data warehousing, batch processing, distributed batch processing, streaming, message queues, feature stores, machine learning model storage and inferenceMachine Learning Techniques:regression, classification, clusteringFavorite Packages:tensorflow, keras, pandas, requests, scikit-learnContact:kevin.carmody.steele@gmail.com

Kevin Steele's Current Company Details
Golden State Warriors

Golden State Warriors

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Data @ Golden State Warriors
Kevin Steele Work Experience Details
  • Golden State Warriors
    Analytics And Machine Learning Data Engineering Lead
    Golden State Warriors Oct 2019 - Present
    San Francisco, California, Us
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  • Starry, Inc.
    Analytics Data Engineering Lead
    Starry, Inc. Oct 2018 - Oct 2019
    Boston, Massachusetts, Us
    Led the data engineering team within the central analytics team. Starry Analytics was responsible for all analytics support across marketing, sales, network, and deployment. Data Engineering was responsible for all analytics data pipelines and infrastructure.Technologies used on these projects include Docker, Postgres (with Postgis), Redshift, Snowflake, AWS Lambda, S3, and SQS.Languages included Python, SQL, and Unix.
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  • Stats Perform
    Senior Data Scientist
    Stats Perform Jan 2018 - Oct 2018
    London, England, Gb
    Worked on a team of data scientists enriching raw soccer / football data with outputs from predictive models.Technologies used on these projects included MySQL, Exadata, Redis, RabbitMQ, Jupyter, and Airflow.Languages included Python, SQL, and Unix.
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  • Atlassian
    Data Engineer
    Atlassian Sep 2015 - Dec 2017
    Sydney, Nsw, Au
    I worked on the internal data services team at Atlassian. Our stakeholders were analysts, and development teams than used our data platforms. Projects I developed on include our traditional data warehouse, our big data lake and query platform, and our real time data transformation and caching platform.Technologies used on these projects include Postgres, S3, Hive, Presto, Athena, Kinesis, DynamoDB, Elasticsearch, SQS, and Graphql. In general, we use AWS. Occasionally, we implemented open source code.Languages included Python, SQL, Node JS, and Unix.
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  • Sega Of America, Inc.
    Data Analyst
    Sega Of America, Inc. May 2014 - Sep 2015
    Irvine, California, Us
    Automated performance marketing and product dashboards to inform decisions using in app event data, attribution data, and advertising data. We tracked campaign ROI on a per user level. Other analysis included ad hoc statistical work, and app landing page optimization.Technologies used included S3, EC2, Redshift, and Tableau.Languages included Python, SQL, R, and Unix.
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  • Nera Economic Consulting
    Analyst
    Nera Economic Consulting Sep 2012 - May 2014
    New York, Ny, Us
    Manage and analyze large datasets using STATA and Excel, and run statistical and economic models under tight case deadlines to support Ph.D economists at top ranked economic consulting firm NERA.Languages used included STATA, Python, and R.
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  • Navigant
    Consultant
    Navigant Aug 2011 - Aug 2012
    Chicago, Il, Us
    Performed accounting, financial, and data analyses for clients in a variety of regulated industries. Managed data sets using SQL, Excel, and Access. Wrote technical memos to be presented to clients.Languages used included SQL.
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  • Stanford Law School
    Research Assistant Project Lead
    Stanford Law School May 2011 - Aug 2011
    Stanford, Ca, Us
    Led five person team to assist Professor Michael Klausner with his research in securities class action litigation.
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  • Stanford Law School
    Research Assistant
    Stanford Law School May 2010 - Aug 2010
    Stanford, Ca, Us
    Assisted Professor Michael Klausner with his research in securities class action litigation.
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Kevin Steele Skills

Data Analysis Microsoft Excel Statistics Economics Stata Python Analysis Research Sql R Finance Technical Writing Financial Analysis Financial Modeling Econometrics Web Scraping

Kevin Steele Education Details

  • University Of Southern California
    University Of Southern California
    Economics
  • Henry M. Gunn High School
    Henry M. Gunn High School

Frequently Asked Questions about Kevin Steele

What company does Kevin Steele work for?

Kevin Steele works for Golden State Warriors

What is Kevin Steele's role at the current company?

Kevin Steele's current role is Data @ Golden State Warriors.

What is Kevin Steele's email address?

Kevin Steele's email address is ke****@****ail.com

What schools did Kevin Steele attend?

Kevin Steele attended University Of Southern California, Henry M. Gunn High School.

What are some of Kevin Steele's interests?

Kevin Steele has interest in Fitness, Soccer Data Analytics Projects, Trojan Football, Arsenal Soccer.

What skills is Kevin Steele known for?

Kevin Steele has skills like Data Analysis, Microsoft Excel, Statistics, Economics, Stata, Python, Analysis, Research, Sql, R, Finance, Technical Writing.

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