Nirav Pandey

Student, University of Melbourne

Bachelor of Science (Data Science)

with a Specialisation in AI

I grew up in Kathmandu, Nepal, and I am now pursuing my undergraduate studies in Melbourne. During my degree, I've had the chance to learn about data science, AI and machine learning.

Beyond academics, I enjoy reading a wide range of literature and working on fun projects that challenge me to learn and grow.

This is where I write about things that interest me and document my projects

Nirav Pandey

09/04/26

Skills

Languages

Python

RSQL

Databases

PostgreSQL

MySQL

Supabase

Tools & Platforms

Spark

Git

Docker

EC2

Data Science

NumPy

PyTorch

scikit-learn

Projects

NYC Taxi Demand ForecastingThe University of Melbourne

Forecasting NYC Yellow Taxi demand using Poisson Regression, Random Forests, and geospatial data analysis across 2024 and 2025.

PythonSparkNumPy

1 / 2

Experience

Product Officer · Data Science Student Society

2026

Senior Peer Mentor · University of Melbourne

2025, 2026

Mentored students in their first semester of university

Section Leader · Stanford Code in Place

2025, 2026

Volunteered to teach Stanford CS106A

Section Leader · Probability for Artificial Intelligence

2026

My Writing

View All

31 Aug 2026

The Buzz about WikiSkill

A review of the WikiSkill Paper

6 Aug 2026

The BIG "I want to learn that!" List

A few topics and resources to learn from over the next couple months

30 Jul 2026

Power, Control and Techno-solutionism in Algorithmic Hiring

Final composition for Sociology and Philosophy of Artificial Intelligence, Semester 1, 2026

22 Jul 2026

Model Evaluation for Coarse and Fine Grain Image Classification on IMAGENET

Comparing ResNet and Classical ML Models on Coarse and Fine Grain Classification

31 Mar 2026

Rethinking Technological Idealism in Healthcare

An examination of AI in medical diagnostics through the lens of technological idealism and its counternarrative.

21 Dec 2025

Eigenvectors, Everywhere

How a simple linear algebra equation lays the foundation for one of the most influential algorithms ever built — Google's PageRank.

Students around the world

All classes · 42 students across 21 countries

Students

146