Rishi Vora

Data Scientist

https://www.opentalent.in/rishi-vora

Final year Master's student in Physics

IISER-M

Key Strengths

Strong proficiency in Nix for reproducible environments, which is valuable for data science workflows.
Experience with Python and Julia, core languages for data science.
Demonstrated interest in scientific computing and machine learning through projects like 'Generative Quantum Machine Learning demo'.
Active in personal projects, indicating self-motivation and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal projects, particularly those focused on reproducible environments (Nix) and scientific computing, suggest a proactive and curious individual. The variety of technologies explored (Python, Julia, Lua, Go, JavaScript, QML, typst) indicates a broad technical interest. The 'Maintainer' role in 'awesome-niri' suggests a collaborative and community-oriented mindset. This aligns well with a culture that values innovation, self-driven learning, and open-source contributions.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Assessing your cultural and operational fit

Projects

gen-qml-demo

April 27, 2026 – Present

Generative Quantum Machine Learning demo for Marimo

View Project

April 7, 2026 – Present

My own CV

View Project

workshops

March 16, 2026 – Present

workshops — GitHub repository

View Project

vortriz.github.io

December 26, 2025 – Present

Personal site built with Astro

View Project

AoC-2025

December 2, 2025 – Present

Advent of Code solutions in Julia

View Project

niri-shell

July 1, 2025 – Present

A shell for niri (slightly tweaked DMS)

View Project

scientific-env

June 3, 2025 – Present

Sane and reproducible scientific dev environments with Nix

View Project

nur-packages

May 23, 2025 – Present

My NUR packages

View Project

awesome-niri

May 22, 2025 – Present

An awesome list for niri related projects [Maintainer - @Vortriz]

View Project

dotfiles

June 6, 2024 – Present

dendritic niri ❄️

View Project

Key Strengths

Strong proficiency in Nix for reproducible environments, which is valuable for data science workflows.
Experience with Python and Julia, core languages for data science.
Demonstrated interest in scientific computing and machine learning through projects like 'Generative Quantum Machine Learning demo'.
Active in personal projects, indicating self-motivation and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Rishi Vora

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit