Data Conference Databasea Query.Farm index
Speakers

Pavithra Eswaramoorthy

Employers on the program

  1. 2023–2025Quansight12 talks

Bluesky: @pavithraes.me

Events7
Conferences4
Talks12
Years active2023–2025
Miles between events24,8737 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • PyData
  • SciPy Conference (Scientific Computing with Python)
  • JupyterCon
  • PyCon (national Python conferences)

Talks

DateEventConferenceRoleTitleLinks
May 14, 2025PyCon US 2025PyCon (national Python conferences)speakerInclusive Data for 1.3 Billion: Designing Accessible Visualizations
as Quansight
According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1…Show less

According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1 in 5 individuals) have vision impairment.

Video
Apr 23, 2025PyCon DE & PyData 2025PyDatatalkInclusive Data for 1.3 Billion: Designing Accessible Visualizations
as Quansight
According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1…Show less

According to the World Health Organization (WHO), an estimated 1.3 billion people (1 in 6 individuals) experience a disability, and nearly 2.2 billion people (1 in 5 individuals) have vision impairment.

Jul 8, 2024SciPy 2024SciPy Conference (Scientific Computing with Python)tutorialData of an Unusual Size (2024 edition): A practical guide to analysis and interactive visualization of massive datasets
as Quansight
While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show less

While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need. In this hands-on tutorial, you will learn the fundamentals of analyzing massive datasets with real-world examples on actual powerful machines on a public...

Jul 8, 2024SciPy 2024SciPy Conference (Scientific Computing with Python)tutorialFrom RAGs to riches: Build an AI document inquiry web-app
as Quansight
As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical…Show less

As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical use case. Retrieval-Augmented Generation (RAG) is a technique to share relevant context and external information (retrieved from vector storage) to LLMs, thus making them more powerful and accurate.

Jul 8, 2024SciPy 2024SciPy Conference (Scientific Computing with Python)tutorialInteractive data visualizations with Bokeh (in 2024)
as Quansight

Bokeh is a library for interactive data visualization. You can use it with Jupyter Notebooks or create standalone web applications, all using Python.

Apr 22, 2024PyCon DE & PyData Berlin 2024PyDatatutorialBuild an AI Document Inquiry Chat with Offline LLMs
as Quansight
As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical…Show less

As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical use case.

Nov 1, 2023PyData NYC 2023PyDatatutorialData of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets
as Quansight
While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show less

While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need.

Video
Nov 1, 2023PyData NYC 2023PyDataspeakerFrom RAGs to riches: Build an AI document interrogation app in 30 mins
as Quansight
As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document interrogation systems have emerged as a high value…Show less

As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document interrogation systems have emerged as a high value practical use case.

Video
Jul 10, 2023SciPy 2023SciPy Conference (Scientific Computing with Python)speakerCommunity-first open source: An action plan!
as Quansight
Communities are at the heart of open source software and are fundamental to our projects’ long-term success. The Python ecosystem has several mature projects,…Show less

Communities are at the heart of open source software and are fundamental to our projects’ long-term success. The Python ecosystem has several mature projects, that have spent years working on community initiatives.

Jul 10, 2023SciPy 2023SciPy Conference (Scientific Computing with Python)tutorialData of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets
as Quansight
While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation…Show less

While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need. In this hands-on tutorial, you will learn the fundamentals of analyzing massive datasets with real-world examples on actual powerful machines on a public...

Jul 10, 2023SciPy 2023SciPy Conference (Scientific Computing with Python)tutorialInteractive data visualization with Bokeh
as Quansight

Bokeh is a library for interactive data visualization. You can use it with Jupyter Notebooks or create standalone web applications, all using Python.

May 10, 2023JupyterCon 2023JupyterConspeakerCommunity-first open source: An action plan!
as Quansight
The open source software ecosystem has multiple mature projects with thriving communities. These communities come many different flavors but there is always a…Show less

The open source software ecosystem has multiple mature projects with thriving communities. These communities come many different flavors but there is always a common thread of promoting kindness in communication, improving the contributor and user experience, and working to make the project more...

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Cheuk Ting Ho4—2025
Patrick Hoefler4—2025
Dharhas Pothina362024
Tania Allard312024
Alex Monahan3—2025
Alexander CS Hendorf3—2025
Ines Montani3—2025
Marco Gorelli3—2025
Sanket Verma3—2025
Valerio Maggio3—2025
Gil Forsyth3—2024
Matthew Rocklin3—2024
Bryan Van de Ven222024
Timo Metzger222024
Alexander Fischer2—2025

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.