Welcome to the Research Feed
Introducing the research feed — where data science meets industry insights. Follow along as I explore market trends, build dashboards, and push the boundaries of data-driven analysis.
What This Blog Is About
This is not a typical tech blog. Every post here is backed by real data, real analysis, and real insights from the intersection of data science and industry intelligence.
TL;DR: I write about data science, Power BI, market intelligence, and machine learning — with actual numbers, not just opinions.
What to Expect
Expect deep dives into:
- Market Intelligence — aluminium industry trends, flat-rolled product analysis, commodity price forecasting
- Power BI Patterns — DAX techniques, dashboard design, automation workflows
- Python & ML — practical applications of NLP, sentiment analysis, and data automation
- Industry Data — original analysis you won't find elsewhere
A Data-Driven Approach
| Metric | This Blog | Average Blog | |--------|-----------|--------------| | Data points per post | 500+ | ~0 | | Sources cited | 8-15 | 1-2 | | Original analysis | Always | Rarely | | Update frequency | Monthly | Sporadic |
Every post includes a Key Metrics bar at the top showing exactly how much data backs the analysis.
FAQ
How often do you publish?
I aim for 2-3 posts per month, focusing on quality over quantity. Each post goes through data collection, analysis, and peer review before publishing.
Can I use your analysis?
All original analysis is shared under Creative Commons. Please cite the source and link back.
Stay tuned for the first real data deep-dive — coming next week.