How to Rewrite a Chinese-Tenured Faculty Role for US Data Scientist Jobs
Why Your Chinese-Tenured Faculty Resume Won’t Work in US Industry US data scientist hiring managers scan a resume in 7–15 seconds looking for one thin…
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Conformal prediction silently breaks under drift - and how to make it hold
Conformal prediction is the easiest way to put a calibrated uncertainty band around any model: wrap a point predictor, and you get intervals with a fi…
Python interview questions: what each one actually predicts on the job (2026)
Canonical: this is a cross-post. The original lives at https://four-leaf.ai/blog/python-interview-questions You can find a hundred Python interview qu…
# Moving RAG From Demo to Production on Databricks: A Developer-Focused Checklist
By Naveen Ayalla This article is adapted from my original post in the Databricks Community and is shared here for developers, data engineers, and GenA…
There's No Good Programmatic Source for African Macro Data — So I Built One
If you've ever tried to get structured, current, programmatically accessible macroeconomic data for African countries, you've hit the same wall. Bloom…
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…
Understanding Underfitting and Overfitting: An Introduction
Have you ever trained a model that performed beautifully on your training data but fell apart the moment it saw new data? Or perhaps you built somethi…
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…
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 ", "…
How to monitor a brand across 5 Chinese social platforms with Python in 2026 — the cross-platform dedup problem and how to handle it
You want to know how a brand is being talked about in China. The catch: the conversation isn't on one platform. It's split across Weibo (microblog), R…
A repeatable workflow for paper figures so you stop redrawing them every revision
If you've shipped a paper, you know the figure tax: you build a beautiful schematic, a reviewer asks you to move one box, and you spend an afternoon r…
I Built CausalLens — A Free, Open-Source Causal Impact Calculator for Time Series (5 Methods, Zero Setup)
I want to show you a tool I just open-sourced. It's called CausalLens, and it answers one specific question that most analytics stacks get completely …
How I built an Ofsted school data API on Apify (without scraping a single webpage)
Most scraping projects start by finding a website to scrape. This one started from the opposite direction: I knew the data existed as official governm…
We Didn’t Just Train AI on the Internet. We Started Training It on Itself.
There’s a quiet assumption in almost every AI discussion right now: “If we scale compute and models, intelligence will keep improving.” That assumptio…
Building Cross-Platform Digital Products: Challenges and Best Practices
This article was originally published on davidohnstad.com . I cross-post here to reach the Dev.to community. The demand for smooth digital experiences…
Data Privacy in the Age of AI: How Product Teams Can Build Trust with Users
This article was originally published on davidohnstad.com . I cross-post here to reach the Dev.to community. The rapid advancement of artificial intel…
What's new in Data Preprocessor 1.5.x — R codegen, Robust Scaler, and a deadlock post-mortem
It's been a few months since I last wrote about Data Preprocessor, the IntelliJ plugin I built to stop re-writing the same pandas preprocessing script…
The Prefix Bubble
A mobile gadget shop in my location, three centuries of evidence, and the part of the AI debate that almost no one is having. I walk down near my loca…
Handling Non-Stationary Time Series: Building a Probabilistic Engine with XGBoost & Python
If you have ever tried to apply Machine Learning to financial time series, you know the heartbreak of the "perfect backtest." You build a model, train…
🚀 Building AnalytIQ: My Journey Creating a Multi-Agent Data Analysis Platform
🚀 Building AnalytIQ: My Journey Creating a Multi-Agent Data Analysis Platform ✨ A Small Note Before We Begin Hi developers 👋 I’m a BCA student passion…
Let me introduce myself
Hello there! My name is Miriam, and I'm from Sevilla, Spain. I'm a backend programmer with experience in Java, PostgreSQl but I also worked with React…
Data Analyst vs Data Scientist 2026: Skills, Salary, Hiring
Are Data Analyst and Data Scientist Still the Same Job in 2026? From the outside, the two roles look interchangeable: similar posting volumes, similar…
When Stability Improves Performance (Threading)
The common assumption in concurrent systems is that stability and performance pull in opposite directions. You add safety mechanisms, locks, routing c…
New Features with TSEDA - get the most out of your time series data.
Update: Automating Time Series Exploration with tseda 📈 A while back, I shared tseda, a tool designed to help you make sense of high-frequency busines…
I built 'dfxpy' to reduce repetitive Pandas + ML preprocessing workflows
Every data project starts with excitement. Then comes: missing values duplicate rows inconsistent column names encoding leakage checks skew analysis o…
I tracked 4,200 startup GitHub orgs for six months — here's what actually predicts a fundraise
I started this six months ago because nobody else seemed to. Hedge funds spent the last decade extracting alpha from satellite imagery, credit-card pa…
I Tested Chunking on Docs, PDFs, and Code. The Winner Changed Every Time.
I assumed chunking was a solved problem. Pick a text splitter, set 512 tokens, add some overlap, move on. After running structured experiments across …