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.

The Data Detectives 🕵️ | Every dataset tells a story, and we’re on the case. We identify the problem, gather the evidence (data), analyze the clues, and present our findings to crack the toughest business mysteries.

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.

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.

Welcome to DataCure! This repository showcases our work in the exciting fields of data science and data analysis. We're dedicated to extracting meaningful insights, building predictive models, and transforming raw data into actionable knowledge to drive informed decisions. Explore our projects to see how we leverage data to solve complex problems.

Group 8 - CDSP Project. This repository houses the efforts of Group 8 in the MIT Emerging Talent 2025 program, showcasing the power of renewable energy and its impact in conflict-affected and underserved regions. Through data science, we explore how clean energy can foster resilience, sustainability, and opportunity

Collaborative Data Science project for MIT Emerging Talent 2025 – Group 06

This repository contains a collaborative research project from MIT Emerging Talent Group 14. We explore how linguistic patterns and psychological manipulation tactics in phishing emails can be automatically detected through statistical analysis and machine learning helping improve cybersecurity defenses and user awareness.

Skajyn || Skajyn 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.