Welcome to Atmosfear! This repository is the collaborative hub for our data-driven exploration of global air pollution. Here, we collect, analyze, and transform raw environmental data into meaningful insights that help uncover pollution patterns and their impact on public health.

Collaborative project for the MIT Emerging Talent Program – Group 27. This repository contains code, data, and documentation for the end-to-end data science pipeline, from domain study to final presentation.

Skajyn || Skajen is a collaborative group formed by Solola, Shaima, Khadija, Jenia(Yevheniia), Yuri and Nelson. Our name symbolizes unity and teamwork as we strive together towards excellence in data science. Collaboration is key, and we never settle for less than the best.

This project repo is part of the MIT Emerging Talent Program's collaborative data science initiative. Our group focuses on applying core data science practices-data collection, analysis, visualization, and communication to solve real-world problems.

This repository contains the collaborative group project developed as part of the MIT Emerging Talent Program.

DataCents DataCents is a collaborative data science project investigating how demographic and behavioral features influence the risk of default in Buy Now, Pay Later (BNPL) services and traditional loans.

The Hypatia Circle __ “ Reserve your right to think, for even to think wrongly is better than not to think at all.” — Hypatia of Alexandria ..We are The Hypatia Circle—six women from across Africa and the Middle East, united by a passion for data science and a shared belief in the power of diverse collaboration to spark meaningful change.

Welcome to the Curious Minds repository. We’re a collective of thinkers, builders, and problem-solvers who believe the best work emerges from trust, curiosity, and fearless collaboration.