/* I work in artificial intelligence, combining an associate degree with hands-on experience as I prepare for my next professional step. */
🟢 Open to workA short collection of hands-on AI work that reflects my learning, tools I use, and projects that show how I apply concepts in practice.
Cleaned and preprocessed unstructured regional socio-economic datasets using Python. Designed intuitive Power BI dashboards visualizing progress metrics across multiple development indicators. Formulated data-driven recommendations that identified underperforming sectors to assist resource allocation strategy.
Engineered a predictive model in Python to forecast peak congestion times with 88% accuracy. Created dynamic Tableau visualizations mapping bottleneck areas for urban planning insights using control engineering foundations.
I work in artificial intelligence, combining an associate degree with hands-on experience as I prepare for my next professional step.
I am Mohamed Ayman Hassan, focused on artificial intelligence. I have an associate degree (or equivalent) and some practical work experience as I transition into a full-time AI career. I am building skills and projects that bridge coursework and early professional work.
Education
Faculty of Engineering
B.Sc. in Computer & Control Engineering (Senior Student) · Class of 2027
Skills
Cleaned and preprocessed unstructured regional socio-economic datasets using Python. Designed intuitive Power BI dashboards visualizing progress metrics across multiple development indicators. Formulated data-driven recommendations that identified underperforming sectors to assist resource allocation strategy.
Engineered a predictive model in Python to forecast peak congestion times with 88% accuracy. Created dynamic Tableau visualizations mapping bottleneck areas for urban planning insights using control engineering foundations.