Kevin Bates

Data Scientist

https://talent.gravityer.com/kevin-bates

Sebastopol, CanadaMember since June 26, 2026

Key Strengths

Extensive experience with Jupyter Notebooks and related ecosystem components (Kernel Gateway, Enterprise Gateway).
Strong Python development skills, particularly in distributed computing and data science infrastructure.
Experience with containerization (Dockerfile) and automation (Makefile, Shell, Ansible) for deployment.
Familiarity with distributed systems like Apache Spark and Hadoop YARN.
Demonstrated ability to contribute to open-source projects related to data science tooling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on the Jupyter ecosystem and related data science infrastructure, indicating a strong alignment with roles requiring deep expertise in these areas. However, the projects are predominantly personal and open-source contributions, which may suggest a preference for independent work or specific technical domains. The lack of diverse project types or team-based experience makes a comprehensive cultural fit assessment challenging without further information.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical contributions to open-source projects.

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Projects

streamlit-extension

June 3, 2022 – December 29, 2024

A JupyterLab extension to open a streamlit app within JupyterLab.

View Project

jupyter_events

May 26, 2022 – Present

Configurable event system for Jupyter applications and extensions.

View Project

gateway_provisioners

March 29, 2021 – June 24, 2025

Provides remote kernel provisioners for various resource-managed clusters.

View Project

jupyter_kernel_mgmt

April 1, 2018 – August 27, 2020

Experimental new kernel management framework for Jupyter

View Project

nb2kg

December 26, 2017 – May 21, 2020

nb2kg — GitHub repository

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enterprise_gateway

April 21, 2017 – Present

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

View Project

ansible-spark-cluster

May 23, 2016 – January 30, 2024

Ansible roles to install an Spark Standalone cluster (HDFS/Spark/Jupyter Notebook) or Ambari based Spark cluster

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kernel_gateway_demos

December 2, 2015 – April 21, 2024

Demos associated with the kernel gateway incubator project

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kernel_gateway

September 21, 2015 – March 12, 2024

Jupyter Kernel Gateway

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hadoop-yarn-api-python-client

May 21, 2014 – September 26, 2022

Python client for Hadoop® YARN API

View Project

Key Strengths

Extensive experience with Jupyter Notebooks and related ecosystem components (Kernel Gateway, Enterprise Gateway).
Strong Python development skills, particularly in distributed computing and data science infrastructure.
Experience with containerization (Dockerfile) and automation (Makefile, Shell, Ansible) for deployment.
Familiarity with distributed systems like Apache Spark and Hadoop YARN.
Demonstrated ability to contribute to open-source projects related to data science tooling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical contributions to open-source projects.

Kevin Bates

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit