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I am a data scientist with a Master’s degree in Artificial Intelligence and Cognitive Sciences, currently applying data-driven methods across defense, healthcare, and finance. I enjoy turning complex data into actionable insights and deploying AI solutions using Python, PySpark, and SQL. I thrive in cross-functional teams, collaborating with business stakeholders and engineers to align technical solutions with strategic goals. My strengths include data preparation and cleaning, feature extraction, modeling, visualization, and building scalable, transparent data architectures.…I am a data scientist with a Master’s degree in Artificial Intelligence and Cognitive Sciences, currently applying data-driven methods across defense, healthcare, and finance. I enjoy turning complex data into actionable insights and deploying AI solutions using Python, PySpark, and SQL. I thrive in cross-functional teams, collaborating with business stakeholders and engineers to align technical solutions with strategic goals. My strengths include data preparation and cleaning, feature extraction, modeling, visualization, and building scalable, transparent data architectures.

Chadi Morsi

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am a data scientist with a Master’s degree in Artificial Intelligence and Cognitive Sciences, currently applying data-driven methods across defense, healthcare, and finance. I enjoy turning complex data into actionable insights and deploying AI solutions using Python, PySpark, and SQL. I thrive in cross-functional teams, collaborating with business stakeholders and engineers to align technical solutions with strategic goals. My strengths include data preparation and cleaning, feature extraction, modeling, visualization, and building scalable, transparent data architectures.…I am a data scientist with a Master’s degree in Artificial Intelligence and Cognitive Sciences, currently applying data-driven methods across defense, healthcare, and finance. I enjoy turning complex data into actionable insights and deploying AI solutions using Python, PySpark, and SQL. I thrive in cross-functional teams, collaborating with business stakeholders and engineers to align technical solutions with strategic goals. My strengths include data preparation and cleaning, feature extraction, modeling, visualization, and building scalable, transparent data architectures.

Available to hire

I am a data scientist with a Master’s degree in Artificial Intelligence and Cognitive Sciences, currently applying data-driven methods across defense, healthcare, and finance. I enjoy turning complex data into actionable insights and deploying AI solutions using Python, PySpark, and SQL.

I thrive in cross-functional teams, collaborating with business stakeholders and engineers to align technical solutions with strategic goals. My strengths include data preparation and cleaning, feature extraction, modeling, visualization, and building scalable, transparent data architectures.

Skills

Python

SQL

Data Visualization

Experience Level

Python

Expert

SQL

Expert

Data Visualization

Expert

Language

French

Fluent

English

Fluent

Spanish; Castilian

Advanced

Arabic

Fluent

Work Experience

Data Scientist at Bank of Egypt

April 1, 2025 - November 28, 2025

Collaborated with business teams, data engineers, and data scientists to align technical solutions with business needs. Analyzed and processed transaction and account data to build churn prediction models. Developed binary and sequential classification models (RNN and LSTM) to improve customer retention. Optimized credit card revenues and reduced customer acquisition costs by 50%, achieving a +20% improvement in retention efficiency.

Data Scientist at CS Group

October 31, 2024 - October 31, 2024

Engineered features and applied decision trees, random forests, and logistic regression for predictive analysis. Designed and implemented ontologies, with storage and querying in SQL/SPARQL. Modeled Bayesian networks and graph neural networks (GNNs) to detect critical situations. Developed adaptive and transparent data architectures to improve scalability and clarity. Performed data cleaning, preprocessing, and visualization to ensure analytical quality. Applied granularity reduction techniques to optimize cognitive data analysis.

Data Analyst at CNRS

May 31, 2022 - May 31, 2022

Preprocessed and analyzed physiological data to extract relevant features. Built predictive models of heart rate based on age using regression and machine learning techniques. Used Python, NumPy, Scikit-learn, and Matplotlib for data modeling and visualization.