Everyone Knows It Scores Half. Nobody Checks Which Half.
Builder Journal · Mars Environmental Dynamics Analyzer (MEDA) Virtual Sensor Recovery Every Kaggle competition page carries the same line of small pri…
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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…
A little about myself
I'm Meshack Amadi — a Data Scientist & Junior Software Developer passionate about data, backend development, Web development and continuous learni…
Gumroad shows you nothing about revenue. We reverse-engineer it to 15-25%.
📊 Originally published on InsightRaider , a data platform tracking digital product revenue across Gumroad, Systeme.io and Whop. Four models, ±15-25% a…
RFM Segmentation for B2B SaaS: An 11-Segment Model to Cut Churn (with Python)
Most retention teams treat their customer base like a single audience. One email sequence. One renewal push. One "we miss you" campaign. Then they won…
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 …
Design + Product Thinking: NYC’s Path to Reliable AI
Design + Product Thinking: NYC’s Path to Reliable AI AI delivers value when it’s useful, trusted, and operational. For city services that affect milli…
Translate Chinese University Projects into US Data Engineering Bullets
Why Chinese University Projects Need a US Rewrite Recruiters at US companies scan resumes for 6-10 seconds. They expect bullets that prove you can do …
# Turning Data Quality Checks into a Measurable Trust Score
Most data quality problems do not announce themselves loudly. They do not always break a pipeline. They do not always throw an exception. They do not …
Your Training Set Is Quietly Eating Itself: A Field Guide to Model Collapse in 2026
If you have shipped anything that fine-tunes on its own outputs — a distillation pipeline, a self-instruct loop, a "we generated 200k examples with GP…
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…
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…
Generating Synthetic Enterprise Datasets for AI Systems
Part 2 of the Building Enterprise AI Automation Systems Series Introduction One of the biggest obstacles in enterprise AI is not choosing a model. It …
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 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…
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…
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…