Masa Tantawy

The American University in Cairo

Biography: Masa is an undergraduate student pursuing a Bachelor’s degree in Data Science at The American University in Cairo. She has a diverse portfolio of numerous data science projects, including a high-impact universal COVID-19 dashboard, gamified simulations, and a FIFA player ratings predictor. No day goes by without Masa dabbling in data visualization, data analysis, or machine learning.

In addition to her academic pursuits, Masa is also a passionate advocate for gender equality and women's empowerment. She was recently selected as a Tomorrow's Leaders Gender Scholar: a competitive program for students with a proven track record of making a substantial impact on gender mainstreaming efforts at AUC. She actively participates in multiple activities to raise awareness about gender causes she is passionate about, with a particular focus on women in STEM.

Upon graduation, Masa aspires to integrate data science in various fields. She believes that data science is an essential tool in all domains to exploit the wealth of ubiquitous data in today’s world and enhance decision-making.

Talk Title: Disrupting Industries with Data Science: A look at Sports, Healthcare, E-commerce, and More

Online Via ZOOM | Mar 14, 2023 | 18:45 – 19:25 (UTC+2)

Abstract: Data science is revolutionizing the way we live and work, and its applications are expanding rapidly across diverse fields. From chatbots like ChatGPT to healthcare, finance, e-commerce, and entertainment, data-driven insights are helping businesses make better decisions and improve customer experiences. In this talk, we will explore the fascinating world of data science and its applications in various fields.

We will then delve into a specific project that demonstrates the power of data science in predicting FIFA player ratings using linear regression. This project involved analyzing player attributes like pace, shooting, and passing to develop a model that predicts a player's overall rating. We will discuss the steps involved in building the model and interpreting the results, highlighting the key takeaways from this exercise.

Finally, we will present a case study illustrating how data can reveal surprising insights about individuals. By analyzing available data, we can uncover information about shopper’s behaviors and preferences. This case study will show how data can sometimes know more about us than our own family does.

Overall, this talk will showcase the wide-ranging applications of data science and inspire attendees to think creatively about how to use data to drive innovation and solve important problems in their own fields.

Talk title and abstract were generated with the aid of ChatGPT.

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