Data Scientist in AI, Data & Tech | Turning raw data into real decisions | ML, Python, projects & collabs

Joined March 2021
9 Photos and videos
Pinned Tweet
Why I’m a Data Scientist in 2026? I’ve always been obsessed with patterns. The tiny details most people ignore… the weird signals hiding in plain sight. Data science feels like learning how to spot the devil in the details and make high-impact decisions based on data.
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Fix for Edge's rounded corners: Right-click Edge in Start Menu → Open file location → right-click shortcut → Properties → Target field, add after existing text: --enable features=msForceNoRoundedCornerAndMargin Click Apply → OK #msedge #microsoftedge
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Make sure to go to settings and disable startup boost in edge too
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Additional note, you have to kill Edge in Task Manager, repin to taskbar from the start menu. ENJOY! If you liked, follow meeee😅
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Replying to @Microsoft
@Microsoft @MicrosoftEdge 2 days ago I was telling how good edge was....today I see the rounded corners in the browser with zero options to toggle it off. Wasted space on the sides looks so bad. Plz give the toggle option. #msedge #microsoft #microsoftedge
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Hear me out.....PHP fullstack....in Vercel!
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How bad is the github attack ? #DataBreach
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Thought I'll post something for a change
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Gained new knowledge: Today I have learnt that a great chair is needed to do great things.
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Whats your go to stack when making a web application (fullstack)? Headless? With a head ? Whats your take ?
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Alan Raju retweeted
Accurate.
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Fact: Marketing is 'n' times harder than coding.
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Alan Raju retweeted
marketing is 67 times harder than coding
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When you build an app, do you code with dark or light theme in mind ?
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I would not use LaTeX to create my resume.
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Why I’m a Data Scientist in 2026? I’ve always been obsessed with patterns. The tiny details most people ignore… the weird signals hiding in plain sight. Data science feels like learning how to spot the devil in the details and make high-impact decisions based on data.
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AI made this even more exciting. We’re no longer just explaining the past, we’re building systems that help shape what happens next. Smarter products. Better decisions. Fewer expensive mistakes. That part still feels a little like magic.
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Here I’ll share real projects, lessons, mistakes, tools I actually use, and honest thoughts from building in data AI. No fluff. No fake guru stuffs. Just practical value. Follow for daily value →
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