About

Kritagya
Loomba

Final-year Computer Science student at Monash University with a deep interest in data science, full-stack engineering, and building tools that solve real problems.

My work spans traffic forecasting platforms, real-time analytics dashboards, interactive visualizers, and client-facing web applications. I care about building software that is reliable, well-structured, and genuinely useful.

Outside of engineering, I spend too much time analyzing Formula 1 telemetry data and building side projects nobody asked for.

Download CV
01

Skills

Languages 7
Python
TypeScript
JavaScript
SQL
R
CSS
HTML
Frameworks & Libs 14
React
Astro
FastAPI
Tailwind CSS
Vite
SymPy
Pydantic
Framer Motion
Zustand
CodeMirror
Recharts
MapLibre
KaTeX
Vega
Data & ML 7
scikit-learn
Pandas
DuckDB
Power BI
Snowflake
Jupyter
FastF1
Tools & Platforms 7
Git
Docker
Node.js
Cloudflare
Palantir
WebGL
SVG
Concepts 5
REST APIs
Data Pipelines
ML Forecasting
Canvas API
Symbolic Computation
02

Experience & Education

Experience

Jul 2025 – Nov 2025

Data Science Intern

Coles Group

Worked on data science and analytics initiatives supporting business intelligence and decision-making across the group.

Oct 2024 – Dec 2024

IB Student Resources Content Developer

Tychr · Remote

Developed detailed IB English Language & Literature study resources, including textual analysis, key literary concepts, and exam strategies. Designed structured notes to enhance student comprehension and exam readiness, aligned with IB curriculum standards.

Education

Feb 2024 – Nov 2026

Bachelor of Computer Science

Monash University

Majoring in Advanced Computer Science

Melbourne, Australia

Aug 2019 – May 2023

IB Diploma

SSIS | Suzhou Singapore International School

Suzhou, China

03

Coding Philosophy

Three principles that guide how I write code and design systems.

01

Keep It Simple

The best code is the least code that solves the problem. I avoid premature abstraction, cut unnecessary layers, and let simplicity drive reliability.

02

Measure, Then Optimize

Gut feeling is a bad performance metric. I profile first, benchmark second, and only optimize what the data says matters.

03

Build for the User

Every project I build is meant to be used by someone — whether it's a dashboard, a CLI tool, or a visualizer. Clear interfaces and good UX always come first.