In a world where climate change is real and tech is evolving fast, I wanted to create something meaningful — and I did. But here’s the twist: I didn’t write a single line of code. Instead, I used a trending approach called “vibe coding.” 🚀 What is Vibe Coding? Vibe coding is the art of […]
Hello Readers, Today I learned about 5 key pillars of EUs sustainability rulebook. In this blog I will try to explain these 5 key pillars in simple, interpretable language. If you are also someone who finds these topics complicated and would want to understand the real meaning behind without getting drowned in legal jargons give
A Simple Guide to the EU Sustainability Rulebook: CSRD, CSDDD, CBAM, InvestEU and More Read Post »
In today’s business environment, Environmental, Social, and Governance (ESG) factors are no longer optional—they’re strategic. Stakeholders expect organizations to be transparent, responsible, and forward-thinking. But how do businesses make ESG actionable and measurable? That’s where data analysts come in. From identifying ESG risks to tracking sustainability KPIs, data analysts are the bridge between raw data
How Data Analysts Drive ESG Innovation Read Post »
Introduction Today, sustainability isn’t just about responsibility — it’s about data. Businesses across industries are realizing that tracking carbon emissions, energy use, and waste metrics is essential to meeting environmental goals. But here’s the challenge: many organizations still rely on scattered spreadsheets and manual reports that don’t tell the full story. As a data analyst
From Excel to Impact: Using Simple Dashboards to Track Sustainability Progress Read Post »
Artificial Intelligence (AI) is transforming industries at an incredible pace, but governments worldwide are struggling to keep up. New AI regulations are emerging at international, national, and state levels, creating compliance challenges for businesses. If you develop, sell, or use AI-powered tools, understanding these laws is crucial. To make sense of this complex regulatory landscape,
AI Regulations for Businesses: Compliance Guide 2024 Read Post »
Introduction ChatGPT, a state-of-the-art conversational AI, has revolutionized how machines understand and generate human-like text. But how does it actually work under the hood? In this article, we’ll break down ChatGPT from first principles, explaining its core concepts, including transformer architecture, training methodologies, and inference process. What is ChatGPT? ChatGPT is based on the GPT
How ChatGPT Works: Understanding from First Principles Read Post »
In today’s digital world, data is at the core of every successful business. Whether you’re improving customer experiences, making decisions, or lWhy Building Data Infrastructure in Microsoft Azure is the Best Choice for Your Company Data powers the modern business world. If your company aims to improve decision-making, customer experiences, and operational efficiency, building data
Building Data Infrastructure in Microsoft Azure: Why It’s the Best Choice Read Post »
In the ever-evolving financial landscape, leveraging data effectively has become critical for managers aiming to optimize performance and drive strategic decision-making. The Plant Co. Quantity Performance 2023 Dashboard, developed using Power BI, is a stellar example of how advanced data visualization can empower managers to make smarter, faster, and more informed decisions. This blog explores
Unlocking Business Insights with Power BI: A Guide for Financial Services Managers Read Post »
Workplace safety and compliance are critical metrics for organizations operating across multiple regions and departments. The Global EHS Performance Dashboard created in Power BI provides a high-level overview of injury incidents, compliance checks, and training completion rates, enabling decision-makers to take actionable steps toward a safer and more compliant workplace. In this blog, we’ll break
How to Analyze Workplace Safety with a Power BI Global EHS Dashboard Read Post »
Data augmentation has become essential in improving machine learning and deep learning models, especially when dealing with limited data. This technique enables data scientists and engineers to maximize their existing datasets by generating variations of the original data. In this article, we’ll explore what data augmentation is, its benefits, popular methods, and how it’s transforming
Data Augmentation: Enhancing Machine Learning Models with Synthetic Data Read Post »