Project Helix
A structured dataset for chemical elements.
118 elements, 15 properties, and a JSON → pandas → CSV pipeline with basic data-quality validation, missing-data analysis, and source/provenance investigation.
11th grade · PCMC · JEE prep · building anyway
I'm H. Siddarth — a student exploring programming, data science, AI, and software by building things.
Things with enough substance to deserve their own repo, README, and several rounds of debugging.
A structured dataset for chemical elements.
118 elements, 15 properties, and a JSON → pandas → CSV pipeline with basic data-quality validation, missing-data analysis, and source/provenance investigation.
A Python CLI for data + ML experiments.
SQLite-backed experiment records, model training, and a CLI workflow for keeping track of what happened.
Document verification, without the magic-word marketing.
V0.1 explores document upload, structured-field extraction, cross-field consistency checks, and an explainable verification report.
Not everything needs to solve a serious problem.
A tiny meme project designed to detect whether something is secretly trying to rickroll you.
internet nonsenseCompletely useless idea. Extremely serious documentation.
developer tool · parodyA small mathematical/programming project around Euler's totient function.
math · pythonReserved for the next idea that probably should have stayed in the notes app.
future sidequestA snapshot of what is actually taking up my brain space.
This page is intentionally temporary. It should change as I do.
Class 11 PCMC · JEE preparation · Physics · Chemistry · Mathematics
Python · data science fundamentals · ML fundamentals · APIs · data handling
Project Helix · Project Forge · PROOF · small experimental projects
LAB / 04
Things I'm testing, breaking, rebuilding, or figuring out.
The Lab is allowed to be unfinished. A half-working idea is still more useful here than a fake success story.
Short, practical writeups from actually learning the stuff.
Small notes from debugging, building, and finally understanding what the code was doing.
→How I think about fields, missing values, provenance, and validation while building small datasets.
→What changed, what broke, and what I would do differently next time.
→Early experiments and learning the basics.
Learning by making things that actually run.
Moved toward CLI tools, SQLite, and experiment tracking.
Started thinking more seriously about data, structure, and validation.
Figuring out what I actually enjoy by building.
JEE + coding + whatever interesting rabbit hole appears next.
Only things I actually use or actively learn. No skill inflation.
I'm an 11th-grade PCMC student preparing for JEE and exploring programming, data science, AI, ML, and software development.
I learn best by building things. Sometimes the build is useful. Sometimes it is a dataset. Sometimes it is a CLI. Sometimes it is a completely unnecessary internet joke.
The point is not to look like I have already made it. The point is to document getting there.
Have a project to discuss, a useful idea, or just found something interesting?
me@thehsiddarth.com ↗