Greg Tam

Greg Tam is a Data Scientist for Pivotal, where he helps customers dig deep to understand their data. Prior to joining Pivotal, he was at Harvard University, where he completed his master’s degree in statistics. He also has a bachelor’s degree in probability and statistics from the math department at McGill University.

  • Using SparkR to Analyze Citi Bike Data

    Using SparkR to Analyze Citi Bike Data

    In this post, we show how to use SparkR, an R package providing a frontend to use Spark, by analyzing trip data from Citi Bike, NYC's bike sharing program.

    Read More
  • How to Use Temporal Features in an MPP Database

    How to Use Temporal Features in an MPP Database

    Learn how to create temporal features in an MPP database and how to set up the data for cross-validation and model building.

    Read More
  • How To Deal With Class Imbalance And Machine Learning On Big Data

    How To Deal With Class Imbalance And Machine Learning On Big Data

    As a member of Pivotal Data Science Labs, Greg Tam penned this article as an exploration in class imbalance problems for machine learning. Pulling insights from real-world scenarios, Tam walks...

    Read More
  • loading
    Loading More...