Long-form writing samples
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Implementing Data Contracts at Scale Apr 2025Read ↗ -
Reverse Concept Drift Algorithm: Insights from NannyML Research Sep 2024Read ↗ -
A Complete Guide To Setup CVAT Feb 2024Read ↗
Data governance, data contracts and data engineering
Written at Soda as technical writer. Main audience: data engineers and governance teams.
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ETL vs ELT: Which Data Pipeline Approach Is Right for You? Jul 2026Read ↗ -
CLI, API, or MCP? Pick the right way to use Soda for the job Jul 2026Read ↗ -
Data Steward vs Data Owner: Roles and Responsibilities Explained Jun 2026Read ↗ -
A Practical Guide to Data Testing Jun 2026Read ↗ -
Data Governance vs. Data Management Jun 2026Read ↗ -
Data Quality in Financial Services: Implementing BCBS 239 May 2026Read ↗ -
How Data Stewards Use Soda: A Day-in-the-Life Walkthrough Apr 2026Read ↗ -
What is Data Stewardship? Apr 2026Read ↗ -
How To Monitor Data Quality in a Databricks Unity Catalog Mar 2026Read ↗ -
How to Add Data Contracts to an Airflow Pipeline Feb 2026Read ↗ -
What Is Data Lineage? Types, Uses and Examples Aug 2025Read ↗ -
How to Add Data Observability & Data Contracts to Databricks Jun 2025Read ↗ -
Implementing Data Contracts at Scale Apr 2025Read ↗
Post-deployment data science
Written at NannyML as data science writer. Main audience: senior data scientists.
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A Brief Note on the Importance of Chunking Jan 2025Read ↗ -
How to Detect Under-Performing Segments in ML Models Nov 2024Read ↗ -
Building Custom Metrics for Predictive Maintenance Nov 2024Read ↗ -
3 Custom Metrics for Your Forecasting Models Nov 2024Read ↗ -
Python Tutorial: Developing Custom Metrics for Insurance AI Models Oct 2024Read ↗ -
Monitoring Demand Forecasting Models without Targets Oct 2024Read ↗ -
Top 3 Custom Metrics Data Scientists Should Build for Finance Oct 2024Read ↗ -
Monitoring Custom Metrics without Ground Truth Oct 2024Read ↗ -
Reverse Concept Drift Algorithm: Insights from NannyML Research Sep 2024Read ↗ -
Prevent Failure of Product Defect Detection Models Aug 2024Read ↗ -
Why Relying on Training Data for ML Monitoring Can Trick You Aug 2024Read ↗ -
A Comprehensive Guide to Univariate Drift Detection Methods Jul 2024Read ↗ -
Stress-free Monitoring of Predictive Maintenance Models Jul 2024Read ↗ -
Comparing Multivariate Drift Detection Algorithms on Real-World Data May 2024Read ↗
Computer vision build guides
Written at Labellerr as data analyst. Main audience: computer-vision practitioners.
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How Computer Vision Based Heat Mapping is Helping Retail Mar 2024Read ↗ -
ML Guide To Build Credit Card Fraud Detection Model Feb 2024Read ↗ -
ML Beginner’s Guide to DDoS Attack Detection Feb 2024Read ↗ -
Oil Rig Safety Analysis Using Computer Vision Feb 2024Read ↗ -
AI-Powered Grid Monitoring Feb 2024Read ↗ -
The Role of AI in Power Line Inspections Feb 2024Read ↗ -
ML Beginner’s Guide To Self-Checkout Model Feb 2024Read ↗ -
A Complete Guide To Setup CVAT Feb 2024Read ↗ -
A Complete Guide To Set Up Label Studio Feb 2024Read ↗ -
Hands-On Guide to Building a Motion Heatmap Feb 2024Read ↗