Dataroots was founded out of a strong belief that AI & data-driven solutions can be used by companies to gain a competitive edge in terms of company processes, customer interactions and legal compliance. Our mission is to deliver data-driven solutions with unrivalled longevity and business impact for our clients.

ℹ️ Feel free to browse around, below are some quick starting points.

• terraform-module-azure-datalake: Terraform module for an Azure Data Lake
• terraform-module-kubeflow: Kubeflow deployment purely in Terraform
• terraform-aws-ecs-airflow: A terraform module that creates an airflow instance in AWS ECS
• terraform-module-kubernetes-application: Terraform module for a kubernetes application
• terraform-provider-kubeflowpipelines: Terraform provider for Kubeflow pipelines API
• terraform-module-azure-storage-sas: Terraform module for Azure Storage SAS tokens
• terraform-module-azure-snowflake: Terraform module for Snowflake on Azure

• tutorial-great-expectations: A tutorial for the Great Expectations library.
• tutorial-face-mask-detection: A tutorial to detect masks, using MobileNetV1.
• tutorial-mlops: A tutorial to learn MLOps best practices with an example using DVC, pycaret and MLflow., with its exercises
• tutorial-hyperparameter-optimization: A tutorial to know about the latest hyperparameters optimization techniques.
• tutorial-streamlit-demo: A demo of what you can do with streamlit.
• tutorial-anomalib-demo: A demo of what you can do with anomalib to detect anomalies in images.
• tutorial-weather-KMI: Zavemtem weather in 2023.

• ml-skeleton-py: An opinionated project template that allows you to get started on a new machine learning project
• python-minimal-boilerplate: A minimal-yet-opinionated project template to kickstart a new Python project
• skeleton-pyspark: An opinionated project template that allows you to get started on an ETL job with PySpark

• face-mask-detection: A face mask detection model 😷
• fresh-coffee-listener: Sound detection model to automatically count coffee consumption ☕️
• snowflake-ml: Toy use case on how to use Snowflake as a full ML platform. ❄️

• bikefitting: A project to use video of someone biking to get a recommendation on the optimal saddle height
• terraform-module-azure-snowflake: Terraform module for Snowflake on Azure

• artyfarty: ggplot2 theme + palette presets
• cheek: Crontab-like scHeduler for Effective Execution of tasKs, cheek for short
• databooks: for sharing and caring about Jupyter notebooks ❤️
• dbt-fabric: dbt adapter for Microsoft Fabric Data Warehouses
• expiring-lru-cache: LRU caching with expiration period
• github-stats-card: ⭐️ a minimal but inclusive github stats badge ⭐️
• nbdefs2py: extract functions and classes from notebooks
• phonehome: KISS telemetry for FOSS packages
• rootsstyle: a dataroots inspired style for Matplotlib
• tf-profile: CLI tool to profile Terraform runs, written in Go

Check out all our events atdataroots.io/events/ or sign up to ourweekly digest 👈

Our latest posts:

• #technoshare summary - week 10 (10/03/2025)
• #technoshare summary - week 9 (03/03/2025)
• Why Microsoft Copilot Adoption Fails (and How to Fix It) (26/02/2025)
• #technoshare summary - week 8 (24/02/2025)
• DevOps in Power BI/Fabric: Why It Matters for Your Business (17/02/2025)

Check out all our posts atdataroots.io/blog/ 👈

Our open positions:

• 🚀 Business Unit Lead
• ☀️ Data Client Partner
• 🛠 Data & Cloud Engineer
• ⛅️ Cloud (& Data) Engineer
• 📊 Data Management Engineer
• ⚙️ Junior Machine Learning Engineer
• 🤖 Machine Learning Engineer
• 🧠 Expert Machine Learning Engineer
• 💡 MLOps Engineer
• 🔭 Data Strategy Consultant

For more info check outdataroots.io/careers 👈

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