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David's avatar

David Y.

United States
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  • Profile
Profile Summary

Analytical and process-oriented data scientist with expert level knowledge in statistics, algorithms, multivariate analysis, machine learning tools in Python, database systems, and working with data at scale. With a proven track record of analyzing complex data sets and serving as a reliable advisor. Passionate about finding insights that are business focused while also achievable at scale.

Expertise
  • Python Developer
    > 5 Year Experience

    5/5

  • Pandas Sklearn Flask Apache Spark Ipython Notebook
  • Machine Learning Engineer
    > 5 Year Experience

    5/5

  • Apache Spark Algorithm Kubernetes Data Mining Python Ipython Notebook Sklearn
  • Data Scientist
    > 5 Year Experience

    5/5

  • Pandas Sklearn Kubernetes Machine Learning Python Tensorflow Neural Networks Deep Learning Sentiment Analysis Mysql Postgresql Google Cloud Platform Amazon Web Services (AWS) Docker Natural Language Processing Classification & Clustering
    Employment History
  • Sr Data Scientist / Founder (CDO)
  • Bluwhale Full Time
    San Francisco Jan 2019 - Jan 2019

    Guided team practice for analysis for projects focused on revenue classification, engagement/progression, and churn for mobile game publishers. I lead the implementation of our data lake and warehouse projects on Google Cloud Platform. Built and maintained toolsets for automating sklearn pipelines for testing, production deployment, and monitoring of the Bluwhale platform. A key contributor of platform product team defining use-cases for product features related to ML and monitoring the health of live classification and regression models.

    Highlights
    Produced an insight that uncovered server errors leading 5% reduction in the first-day churn for a client with 10M+ DAU.

    Environment:
    Python ML stack (numpy, Pandas, Matplotlib, sklearn, Keras, Tensorflow)
    Google Cloud Platform (BigQuery, GKE, Dataproc)

  • Global Lead Data Science Instructor
  • General Assembly Full Time
    San Francisco Apr 2016 - Jun 2019

    Lead content development for the global organization of data science pilot programs and curriculum, including machine learning, statistics, math, engineering, and their applications. I worked with stakeholders to develop internal and student-facing lectures, labs, and project material based on learning objectives and market research with job placement outcomes in mind. My role consisted of research and development, in-class instructor support, lecturing on key data science topics, and consulting for scope and methodology of final student projects.

    Highlights
    - Learned to code the classic ML algorithms from scratch during the development of curriculum
    - Development of metrics leading to improved NPS across North American regions
    - Piloted original data science immersive programs now taught globally
    - Authored 15 in-depth case studies used in the classroom across the organization related to supervised and unsupervised learning, model deployment, metrics, testing, and validation.

    Environment: Pandas, Jupiter, numpy, sklearn, scipy, keras, tensorlfow, matplotlib, Spark, SQL, AWS, Linux systems

  • Data Scientist
  • Weareher.com Full Time
    San Francisco Jan 2015 - Apr 2016

    Built and managed a collaborative based recommender system pipelines for production mobile data app for women. Supported marketing initiatives through sentiment models and bespoke Python/Flask prototypes to identify key brand influences for outreach.

    Highlights
    - Recommender system tuned to increase active session length by 10%
    - Moved historical data off 300M+ MySQL instance to Redshift for better online analysis and analytics purposes

    Environment: Python, Scala, SQL, sklearn, EMR, AWS, RDS

  • Sr Data Developer
  • Gracenote Full Time
    Emeryville May 2007 - Jan 2014

    I built a database of 6 million artists with accompanying search algorithms, architect an enterprise-grade content management system supporting seven languages, integrated six featured Consumer Electronics Show projects related to recommender and ML-based music identification, and built a content classification suite of tools that automated manual tagging processes.

    - Lead development role for content delivery, search, and prototype/pilot related web projects.
    - Ownership of web application security guidelines and practices.
    - Review and approve schema design, queries, and other database resources related to development/engineering team ensuring best practice.
    - Review and recommend testing strategies for major projects (unit, white box, system, availability).
    - ETL of disparate sources, building RESTful services around clean(er) data.
    - Bespoke reporting and BI/analysis tools.
    - Tuning Databases for performance, availability, and integrity.
    - Scripting to monitor and automate processes.

    Environment: Linux/Unix, AWS, MongoDB, MySQL, Oracle, Python, Java, sklearn, Pandas

    Education
  • Music Performance
  • University of Alaska Anchorage
    Sep 2000

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