
Data science educator and backend-focused software engineer with expertise in SQL, Python, data visualization, and DevOps. Passionate about teaching, building robust systems, and empowering decision-making through data.
I'm Khaled Mohamed Fathallah, a data science educator, backend software engineer, and bioinformatics researcher. Since beginning my technology career in 2001, I've grown from technical support and systems administration into building data-driven software and teaching the next generation of practitioners.
As an Adjunct Instructor at Alexandria University, I teach Python, SQL, data warehousing, machine learning, Azure data services, and MLOps. My work is practical and career-focused: learners leave with the analytical habits, engineering foundations, and cloud skills needed to solve real problems.
I hold a Master's in Applied Data Science from WorldQuant University and am pursuing AI research at Alexandria University. My current research interests connect machine learning, natural language processing, genomics, genome assembly, single-cell analysis, and reproducible scientific workflows.
Analysis, visualization & machine learning
Scalable Server Solutions
Genomics & reproducible research
Azure, Docker & deployment workflows






Teaching data science, machine learning, and cloud technologies. Delivering coursework on SQL, Python, Azure services, and MLOps tools to prepare students for industry careers.
Providing data analysis services to various clients, focusing on data collection, cleaning, visualization, and delivering actionable insights for decision-making.
Monitored inventory trends using advanced data analysis for food and home product stocks, predicting needs based on sales patterns and market demands.
Managed IT infrastructure, troubleshooting network problems, maintaining Windows servers, and supporting users with daily technical issues.
Research portfolio / 01
A focused collection of genomics, single-cell, and molecular biology work published openly on GitHub.






Research portfolio / 02
Selected research and applied studies recorded through my ORCID profile.


Research portfolio / 03
A browsable index of professional learning, completion, attendance, and credential evidence maintained in a dedicated public repository.
Currently pursuing advanced research in AI and computer science
Project-based curriculum covering regression, classification, and data visualization
12-month core program + backend specialization in APIs, databases, and DevOps
Specialized in data wrangling, analysis, and reporting
I'm always interested in discussing new opportunities, collaborating on exciting projects, or simply connecting with fellow developers. Let's build something amazing together!