Full-Stack Data Professional Turning Raw Data Into Intelligent Products
I help teams transform messy data into clarity, insight, and production-ready machine learning solutions.
I’m Atif Majeed — Data Scientist, Machine Learning Engineer, and AI Practitioner with a full-stack engineering background.
Where most data professionals stop at charts or notebooks, I take projects all the way to deployment, delivering real, usable intelligence that drives decisions, automation, and product innovation.
Python • SQL • ML • React • Django • Node.js • AWS • Tableau • PowerBI • Computer Vision • End-to-End Deployment
Data Scientist | Machine Learning Engineer | AI Practitioner | Former Web Developer
A rare blend of technical depth + product engineering — I don’t just analyze data, I turn it into real-world solutions.
I Build Data Systems That Create Business Impact
Whether you’re hiring, building a product, or improving decision-making — I help you move faster, smarter, and more efficiently with data.
Build ML-Powered Features
From recommendation engines to facial recognition — I turn models into production-ready features.
Full-Stack ML Applications
APIs, front-ends, and automation workflows that bring intelligence to your product.
Deliver Data Insights That Drive Decisions
Dashboards, analysis, forecasting, segmentation — the insights that power strategy.
Prototype AI Solutions Quickly
Rapid testing of ideas using Python, ML, and practical engineering — turning concepts into proof-of-value.
What Makes Me Different From 90% of Data Talent
Most data scientists build models.
Most developers build software.
I build intelligent products.
Because of my web development roots, I don’t stop at “accuracy” or “R² score”.
I ask:
- How will this be used?
- Who benefits from it?
How do we integrate it into the product?
I combine:
- Data science (analysis, ML, modeling)
- Engineering (APIs, infrastructure, optimization)
- Front-end development (React, TailwindCSS, UX thinking)
This rare combination lets me deliver end-to-end solutions — not partial work that someone else must finish.
Skills Snapshot
The full-stack toolkit that makes me effective across the entire data lifecycle.
Languages: Python, R, SQL, JavaScript, PHP
Data Science: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Computer Vision: OpenCV, face-recognition
Visualization: Tableau, Matplotlib, Seaborn
Back-End: Flask, Django, Node.js
Front-End: React, TailwindCSS, Bootstrap
Databases: MySQL, PostgreSQL, MongoDB
Cloud: AWS, GCP
Big Data: Spark, Hadoop
Trusted by teams needing clear insights, real results, and end-to-end ownership.
Insights
Five Years as a Data Professional — What the Journey Really Taught Me
Five years ago, my journey into Data Analysis, Data Science, and Machine Learning didn’t begin with clarity or confidence. It began with confusion. I was...
Turning ML Notebooks Into Products from Building VisPilot
Introduction Most machine learning work dies inside a notebook. Brilliant experiments. Impressive metrics. Clever feature engineering. None of it matters if...
Building Real-Time Computer Vision Systems a reference from FaceVision
Introduction Most people think computer vision is simple. Upload an image. Run a pre-trained model. Get a bounding box. Done. But real-world computer vision...
Let’s Build Your Next Intelligent System
If you’re looking for a data professional who can take your project from
concept → data → model → API → UI → deployment,
then you’re looking for the right person.
