Inside the Virtual R&D Lab: How Human Imagination and AI Multi-Agents Shape the Future of Science
System Enforces Order, AI Accelerates Logic: Driving Next-Generation R&D Through Human-AI Co-Creation Abstract This case study presents the zero-t…
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From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey
How I applied Exploratory Data Analysis, Feature Engineering, Pipelines, and Ensemble Models to solve a real-world machine learning problem—and the le…
What Building Cricket Analytics Taught Me About Data Visualization
When most people watch a cricket match, they notice the obvious moments—a six into the stands, a fast bowler taking a wicket, or a last-over finish th…
Why Federal Reform Picks AI‑Native Outcome Integrators
Executive summary Federal procurement is shifting from labor-based buys toward fixed-price, outcome-focused contracts—and that change alters who wins …
Scaffolding Business Domain Models with Dynamic Schemas
This article kicks off our new "Core Platform Capabilities" series Operational platforms require structured data, but rigid database schemas slow down…
How a JavaScript Pivot Table Can Handle 10 Million Rows in the Browser
Most JavaScript pivot table examples start with a few hundred JSON records. That is fine for a demo, but it does not answer the question teams eventua…
How Netflix Knows What You Want to Watch: Matrix Factorization & Architecture
How Netflix Knows What You Want to Watch: Matrix Factorization & Architecture Have you ever finished a binge-worthy series on Netflix, only for th…
Episia: Building an Open-Source Epidemiology Library in Python, Validated Against OpenEpi
Why Episia I am an MD candidate and a self-taught Python developer. Over the past year, working with epidemiological surveillance data in a resource-l…
Power BI Is More Than Dashboards: Why It Belongs in Modern Data Work
Despite the rise of Python, R, notebooks, cloud warehouses, and custom analytics platforms, Power BI remains one of the most important tools in my dat…
GenAI Won't Replace Data Engineers. Here's What Actually Changes
There's been so much talk about "AI taking over jobs." But here's what I've actually seen in my own work, not in a think-piece, but in production. Wha…
Rendering Charts Beyond Mermaid's Reach with Vega-Lite and Embedding Them in Markdown (via LLM Skills)
AI agents like Claude Code and Codex can write code, polish documentation, and automate complex tasks. But ask them to "make a scatter plot of this da…
Why GridSearchCV Wastes Most of Its Time — And What I Did About It
If you've ever tuned hyperparameters on a large grid, you know the pain. You kick off a GridSearchCV , go make coffee, come back, and it's still runni…
Star Schema vs Snowflake Schema: Which to Use and When
The difference between a star schema and a snowflake schema is smaller than the debate around it suggests. Both are dimensional models — a central fac…
Why Entity Resolution Is Harder Than Named Entity Recognition
Part 4 of the Building Enterprise AI Automation Systems Series Introduction Most Named Entity Recognition (NER) tutorials end with a prediction. The m…
Building a Financial Named Entity Recognition Pipeline for Enterprise AI
Part 3 of the Building Enterprise AI Automation Systems Series Introduction Named Entity Recognition (NER) is one of the oldest problems in Natural La…
Using Zstd Frames to Egress Partial Parquet Files
Jump Tables, TLV Footers, and the Real Cost of Reading What You Don't Need You're paying for bytes you never read. A data engineer on a busy pipeline …
How we predict the FIFA World Cup 2026 with a Dixon-Coles bivariate Poisson model
We're building Onside Arena — an open AI football analytics platform for the FIFA World Cup 2026 and FPL. Live model record: 75% of MD1 winners called…
How I Use AI as My "Junior Analyst" 5 Prompt Templates That Actually Work
Most data analysts I know are using AI wrong. They type things like "analyze this data" or "write me a SQL query" — and get back generic, surface-leve…
How Apps Know What You Want Next?
Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lr…
Stop Shipping ML Models With Bare Floats: A Deep Dive Into Statistically Rigorous Model Evaluation
Stop Shipping ML Models With Bare Floats Every week, somewhere, a team makes a deployment decision that looks like this: Model A: AUROC = 0.847 Model …
Your UMAP Looks Great. But Can You Prove the Annotation Is Correct?
How I built a production scanpy pipeline that does not just annotate single-cell data -- it measures how accurately it did so, where it fails, and why…
Python for Machine Learning: The Complete Roadmap Nobody Told You About
When I first started exploring Machine Learning, I made the same mistake most beginners do — I jumped straight into neural networks and model training…
How Excel is Used in Real-World Data Analysis
I have began my journey as a beginner in the data analysis field by learning excel. I have previously used excel to store data but never really consid…
I Built a Fraud Detection System That Catches 99.76% of Fraud — Here's Everything I Learned
There is a number that haunts every fraud detection engineer: 0.13% . That is the fraud rate in the PaySim dataset — 8,213 fraudulent transactions bur…
I built a data-contract validator in pure Python (no pandas, no PyYAML) and it caught a 30% revenue ghost
A few months ago I spent the better part of a day chasing a bug that turned out not to be a bug at all. A downstream dashboard showed revenue had jump…
LLM Fine-Tuning vs RAG: A Production Decision Framework for Engineering Teams
Key Takeaways Use RAG for knowledge retrieval, changing data, and rapid iteration. Use fine-tuning for style, format, narrow classification, and cost …
Why Your LLM Agent Gives a Different P-Value Every Time (And What to Build Instead)
Hand the same paired before/after dataset (n = 25) to ChatGPT five times. Same prompt: "These are the same subjects measured before and after an inter…
I Built an ML Bitcoin Trading Bot — Then Proved It Had No Edge.
A case study in building crypto trading infrastructure and, more importantly, testing it honestly — including when the honest answer is "no edge." Wha…
Data Product Manager Org Structure: Reporting Lines That Matter
This article was originally published on davidohnstad.com . I cross-post here to reach the Dev.to community. { " @context ": " https://schema.org ", "…
The Power BI Developer Isn't Disappearing. AI in Power BI Is Transforming the Role.
AI can now build reports, write DAX, and query your data, and it's not just Copilot anymore. Here's what that actually means for your organisation, an…