Make repetitive work lighter.
Give routine tasks a repeatable process, with fewer manual steps and clearer outcomes.
Shubham Behl / Python developer
Curiosity in.
Useful code out.
Python development. Clearer data.
More time for the work that matters.
An analytics foundation. A builder’s mindset.
My everyday toolkitPythonFlaskSQLpandasPower BILinux
01 / What useful looks like
Less friction.
More possibility.
You bring the problem and the context.
I connect the data, code and practical next step.
See what your data is saying.
Move from scattered spreadsheets to useful comparisons, visual stories and decisions.
Build something you can use.
Turn an idea into an understandable tool, with working controls and thoughtful details.
02 / Ways I can help
Small tools.
Meaningful progress.
Python automation
Turn repeatable tasks into clear, dependable workflows. Less copying, checking and chasing.
Automate a workflowData that tells a story
Clean the messy inputs, find the useful patterns, and make the result easy to understand.
Make sense of your dataConnected tools
Bring APIs, data sources and useful interfaces together so information flows where you need it.
Connect your tools03 / Selected work
From questions
to working projects.
API integration / Python
Where is the ISS?
Several sources. One useful view.
A location becomes a country, a weather forecast and a distance — all assembled into one Python dictionary.
Try the live explorer
Always learning. Always building.04 / The person behind the code
Business → Analytics → Python
I like understanding why things work — then making them useful.
My experience connects business, Linux systems, data analysis and cybersecurity. Python is where those threads become practical tools.
A little more about me05 / Client feedback
Your project
could be next.
There are no published client testimonials here yet. For now, the working projects are the best way to explore how I think and build.
See the work in actionLet’s make something useful