Parul Pandey

Machine Learning Engineer at Weights & Biases

Expertise: Data science, machine learning, artificial intelligence

Education: National Institute of Technology Hamirpur

Parul Pandey is a machine learning engineer at Weights & Biases, a developer-first MLOps platform. Before this, she worked as a data scientist at H2O.ai, combining data science and developer advocacy in her work. She is also a Kaggle Grandmaster in the notebooks category and was one of LinkedIn’s Top Voices in the software development category in 2019.

Pandey is co-authoring a book on responsible AI and has written multiple articles focused on data science and software development for various publications. She also has a background in electrical engineering.

10 Articles

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Parul Pandey Parul Pandey
Updated on May 22, 2025

Vector Norms: A Quick Guide

A vector norm is a function that measures the size or magnitude of a vector by quantifying its length from the origin. Vector norms are an important concept to machine learning. This guide breaks down the idea behind the L¹, L², L∞ and Lᵖ norms.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In
Parul Pandey Parul Pandey
Updated on May 22, 2025

Sorting Data Frames in Pandas: A Hands-On Guide

Pandas DataFrames can be sorted by column, index, multiple columns and more. This tutorial introduces you to the basics.

Expert Contributors
Data Science
Image: Shutterstock / Built In
Parul Pandey Parul Pandey
Updated on August 12, 2022

How to Automate Your Data Science Project Structure in 3 Easy Steps

Trying and failing to decipher your own codebase? Remember: Good code is its own best documentation.

Expert Contributors
Data Science
Software Engineering Perspectives
Parul Pandey Parul Pandey
Updated on May 28, 2025

What Is the Dummy Variable Trap? (With Pandas Code Examples)

Here are a few important caveats to keep in mind when you’re encoding data with pandas.get_dummies().

Expert Contributors
Machine Learning
Data Science
Parul Pandey Parul Pandey
Updated on August 12, 2022

Replicate GitHub-Style Contribution Plots for Your Time Series Data

Here’s how to heat up your heat maps and make sure they stand out.

Expert Contributors
Data Science
Software Engineering Perspectives
Parul Pandey Parul Pandey
Updated on June 03, 2025

From Clipboard to DataFrame With Pandas: A Quick Guide

Read data directly from the clipboard without saving it first. Here’s how.

Expert Contributors
Data Science
Software Engineering Perspectives
Parul Pandey Parul Pandey
Updated on March 15, 2023

5 Open-Source Machine Learning Libraries Worth Checking Out

Come with me on a whirlwind tour of 5 libraries that will be a great addition to your data science stack.

Expert Contributors
Machine Learning Algorithms
Machine Learning
Parul Pandey Parul Pandey
Updated on March 15, 2023

Your Job Descriptions Are Biased. AI Can Help.

This open-source Python development framework can help you quantify and eradicate unconscious bias in job descriptions.

Expert Contributors
Artificial Intelligence
Administrative Support
Parul Pandey Parul Pandey
Updated on September 15, 2025

How to Enable Jupyter Notebook Notifications

Jupyternotify is a Jupyter Notebook extension that provides a browser notification when a code cell is done executing.

Expert Contributors
Jupyter
Machine Learning
Image: Shutterstock / Built In
Parul Pandey Parul Pandey
Updated on May 22, 2025

10 Python Image Manipulation Tools You Can Try Today

Image processing in Python involves using Python to analyze and manipulate digital images to improve quality or extract information. Here’s an overview of common Python libraries used for image processing tasks.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In