Donia Besher | Data Science Portfolio

Data Science and Artificial Intelligence Portfolio

I am a Mathematics graduate from Sorbonne University, specializing in Data Science for Artificial Intelligence. My passion lies in applying advanced analytics and machine learning to uncover insights from complex data and support data-driven decision making. My journey into data science began with a love for problem-solving and has evolved into a deep interest in how AI can be applied across fields like healthcare, economics, and sustainability. I see data science not just as a technical skill but as a powerful tool for understanding complex systems and making informed decisions. I have applied these tools to both academic research and practical projects, developing ensemble models that achieved top rankings in Kaggle competitions and contributing to research on forecasting exchange rates and climate policy uncertainty. Looking ahead, I aim to explore how AI can enhance decision-making in healthcare, from improving diagnostic tools to enabling more personalized and accessible treatment options.

Research and Projects Portfolio

Climate Policy Uncertainty Forecasting

Investigated drivers of the US Climate Policy Uncertainty index using macroeconomic, financial cycle variables, and real-time public sentiment data to improve forecasting.

Read the Climate Policy Forecasting Project | View the Climate Policy Forecasting Paper

Will They Get the Job?

Winning Kaggle machine learning model to predict student job placement outcomes from a highly imbalanced dataset with limited samples, nonlinear separability, and multicollinearity.

Read the Machine Learning Project | Download Will They Get the Job? PPTX

Credit Card Debt Prediction

Winning Kaggle ensemble regression model for predicting credit card debt based on socio-economic factors dataset with outliers, nonlinearity, multicollinearity, and nonnormality.

Read the Ensemble Regression Project | Download Credit Card Debt Prediction PPTX

Analysis of COVID-19 Mortality Data

Probabilistic analysis of COVID-19 mortality data to identify the underlying distribution and provide insights for pandemic management strategies.

Read the Probabilistic Analysis Project | Download Analysis of COVID-19 Mortality Data PPTX