newsletterJune 29, 2026·Towards Data Science

I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work

The tools I use for analytics and reporting have changed more than I expected, yet my questions for any analytics project haven't moved much. The post I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work appeared first on Towards Data Science.

Key Takeaways

•The tools I use for analytics and reporting have changed more than I expected, yet my questions for any analytics project haven't moved much. The post I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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AI Agents Explained: What Is a ReAct Loop and How Does It Work?

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The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation

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I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work

Key Takeaways

Related Articles

AI Agents Explained: What Is a ReAct Loop and How Does It Work?

Long Context vs. Short Context Model: When Does a Long Context Model Win?

LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler

The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation

Discussion

I Completed Five Years in Analytics Consulting: 5 Lessons That Changed How I Work

Key Takeaways

Related Articles

AI Agents Explained: What Is a ReAct Loop and How Does It Work?

Long Context vs. Short Context Model: When Does a Long Context Model Win?

LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler

The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation

Discussion

Related Articles

Towards Data Science
AI Agents Explained: What Is a ReAct Loop and How Does It Work?
How agents reason, act, and observe their way to a final answer, one step at a time The post AI Agents Explained: What Is a ReAct Loop and How Does It Work? appeared first on Towards Data Science.

Towards Data Science
Long Context vs. Short Context Model: When Does a Long Context Model Win?
Balancing context capability against cost, speed, and data The post Long Context vs. Short Context Model: When Does a Long Context Model Win? appeared first on Towards Data Science.

Towards Data Science
LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler
Most "LLM wikis" use agents, embeddings, and repeated model calls to organize local notes. I built a deterministic alternative: a pure Python compiler that turns messy markdown into a linked, linted wiki using only the standard library. Along the way, I fixed two real bugs, benchmarked the pipeline

Towards Data Science
The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation
Enterprise Document Intelligence [Vol.1 #7ter] - Six positions on the retrieval brick that contradict the cosine-first reflex of mainstream RAG The post The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation appeared first on Towards Data Science.