Data Analytics & Business Intelligence

Before building a machine learning model, before writing a single line of predictive code, there is a step that separates mediocre data… Continue reading on Med

I am very proficient in using (MS Word), (MS Excel), and (Adobe Acrobat) to convert pdf to Word or google docs. I am creative and fast… Continue reading on Medi

If you run a website, you’ve probably noticed the slow unraveling of the old analytics playbook. Cookie consent banners annoy visitors, ad… Continue reading on

Step into the future of analytics with the Data Analytics with Gen AI course at the Institute of Data Science and Analytics, Janakpuri… Continue reading on Medi

SQL is one of the most practical skills in data science. If Python helps you analyze data, SQL helps you reach the data in the first place. Continue reading on

“Free” arbitrage and the bot that read the weather. Two flawless hypotheses on paper, two lessons in why efficient markets give you… Continue reading on Medium

How to tackle Data Observability outside of Monte Carlo in 2026 Continue reading on Medium »

Three counterintuitive discoveries that will change how you think about models, data, and scaling Continue reading on Medium »

A plain-language breakdown of data modeling, OLAP, and OLTP and why mixing them up will cost you. Continue reading on Medium »

AWR (Automatic Workload Repository) — Continue reading on Medium »

Industry realities, high-paying skills, aur sahi roadmap jo har fresher ko pata hona chahiye. Continue reading on Medium »

Industry realities, high-paying skills, aur sahi roadmap jo har fresher ko pata hona chahiye. Continue reading on Medium »

In today’s digital world, businesses kind of rely heavily on data, to make smarter decisions and so on. From healthcare and finance, all… Continue reading on Me

Daylight saving rules make time zone regions outperform fixed offsets Continue reading on Medium »

Today, I want to talk about how I’m saving anywhere from like 60% to 90% of my tokens for tool calling. And the solution is actually dead… Continue reading on M

A few years ago, getting a degree was enough to start a career. Continue reading on Medium »

They need their documents converted into decision-ready intelligence. Continue reading on Medium »

Most traders spend their time looking for the perfect entry. Continue reading on Medium »

5-P’s Without Needing To Harm Anyone Continue reading on Medium »

Optimizer-focused strategies that eliminate costly scans, improve index usage, and dramatically reduce query latency at scale Continue reading on Medium »

Is it data quality, stakeholder expectations, model deployment, business understanding, or something else? submitted by /u/Effective_Ocelot_445 [link] <a href="

It doesn’t take long for a .claude/CLAUDE.md to grow unwieldy. Continue reading on Data Science Collective »

Discover the external validity threats that can invalidate your A/B test results, from seasonality and sample pollution to the flicker… Continue reading on Medi

Module 1 is done. Here’s everything that’s actually in the system now, how it’s validated, and what’s next. Continue reading on Medium »

By Sunday Ikpe and Femi Akinmade Continue reading on Medium »

My first professional love was data. Anything to do with data. I found it so interesting that everything in any system ever boiled down to… Continue reading on

This project is based on a Nigerian Retail Sales dataset that contains a large amount of raw data, which on its own does not tell a clear… Continue reading on M

The NIH continues to tweek the requirements for the Data Management and Sharing Plan, here’s what it looks like in 2026 Continue reading on MetaScientific »

Using Power BI to uncover sales trends, regional performance, and profitability inisight from a Nigerian Retail Dataset. Continue reading on Medium »

There’s a particular kind of frustration that comes from working with data in 2026. You have a CSV. Maybe it’s sales records, maybe it’s… Continue reading on Me

There’s a particular kind of frustration that comes from working with data in 2026. You have a CSV. Maybe it’s sales records, maybe it’s… Continue reading on Me

There’s a particular kind of frustration that comes from working with data in 2026. You have a CSV. Maybe it’s sales records, maybe it’s… Continue reading on Me

I ran an RFM analysis on 17,000 e-commerce transactions from a Turkish online retailer. The results were eye-opening. Continue reading on Medium »

Série: Modelos Matemáticos para Data-Driven Decision Making — Step 07 / 12 Continue reading on Medium »

If you’ve ever worked with Spark, you know the usual workflow: write code, upload it to a notebook, run it on the cluster, debug through… Continue reading on Me

Blending regularized adjusted plus-minus with possession-level box production. Continue reading on Medium »

Grinding consumes 30–40% of cement plant electricity. Learn how to cut kWh/T by 8–15% using Python data analytics. Free code + GitHub repo… Continue reading on

Learning Through Experience Continue reading on Medium »

Hello SeaTunnel community! Continue reading on Medium »

Uncovering payment behaviour, regional trends, and product performance from Nigerian retail sales data Continue reading on Medium »

Understanding entropy through surprise, probability, and uncertainty. Continue reading on Medium »

US unemployment is 4.3%. The curve even looks like it is calming down. The data underneath says otherwise. 2 million Americans have now… Continue reading on Med

There is no modern playbook for this. US core inflation — the gauge the Fed targets at 2% — is at 3.3% and re-accelerating. Outside Covid… Continue reading on M

This is my job search framework, the approach I follow every time I look for a new job. I want to cover mindset, preparation, finding jobs and applying, plus th

Union-Find is fast, but it breaks for real-world entity resolution because it cannot handle safeguards, reversals, or ambiguous matches. A weighted graph approa

In a world where information changes by the minute, businesses need more than just access to data — they need access to the right data at… Continue reading on M

Missing data is a common problem in Data Science and can affect the accuracy and reliability of analysis and machine learning models… Continue reading on Medium

Architecture · Internals · Join Strategies · Catalyst & Tungsten · AQE · Memory Management · Performance Tuning · Spark 4.0 Continue reading on Medium »