Future Proof Data Science

Docker For Data Scientists (Simplified)

Your first steps towards deployment

Aug 20 • Andres Vourakis

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ML System Design for Data Scientists (How Senior Data Scientists Actually Think About ML Systems)

This is the real shift in the job market

Aug 13 • Andres Vourakis

16

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July 2026

Google's TabFM: What Data Scientists Should Know About This New Foundation Model

Is this the end of Machine learning as we know it?

Jul 28 • Andres Vourakis

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CI/CD for Data Scientists: How to Automate the Engineering Habits You’ve Built

A step-by-step GitHub Actions workflow for data scientists.

Jul 18 • Andres Vourakis

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3

FastAPI for Data Scientists: How to Turn Your Model into a Real Service

You trained the model, now make sure someone else can use it.

Jul 7 • Andres Vourakis

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June 2026

Reproducible Environments with uv: Stop Fighting Python on Every New Project

Replace pip, conda, venv, and Poetry with one tool that's 10x faster

Jun 30 • Andres Vourakis

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2

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Testing & Logging: How to Know Your Code Actually Works

Data scientists skip this, engineers don't, and it shows.

Jun 23 • Andres Vourakis

10

1

Pydantic: Data Validation That Spans MLOps and LLMOps

Start writing data science code that holds up in production

Jun 16 • Andres Vourakis

16

2

Introducing Engineering Skills for Data Scientists (Summer Series)

A free 5-week series of practical articles to level up your engineering skills.

Jun 13 • Andres Vourakis

30

2

1

When Is It Actually a RAG Problem?

A decision framework for data scientists

Jun 4 • Andres Vourakis

18

5

May 2026

Building Your First Claude Skill: An Analytical Peer Reviewer for Data Scientists

A step-by-step build for a Skill that stress-tests your analysis, not just your code

May 16 • Andres Vourakis

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April 2026

Top 5 AI Tools I (Actually) Use as a Senior Data Scientist

My real AI stack, what each tool does, and how they all fit together

Apr 23 • Andres Vourakis

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