Experience
Feb 2026 – May 2026
Data Science Intern
Abdul Latif Jameel United Finance, Jeddah
- Built the company's first ML-based forecasting system for monthly financing volumes, delivering full-year 2026 projections.
- Designed safety guardrails for an internal AI chatbot now running in production.
- Built interactive Power BI dashboards to present forecasts and analyze historical trends.
- Presented model outputs and key drivers to non-technical management to support planning.
Dec 2025
Bupa Arabia Datathon
Bupa Arabia Headquarters, Jeddah
- Selected as a university representative for a competitive healthcare analytics datathon on claims prediction.
- Delivered an end-to-end workflow: data cleaning, exploratory analysis, and ML model development.
- Visualized insights for non-technical audiences to communicate business impacts.
Nov 2024
Forecasting Hackathon
University of Jeddah
- Applied SAS Viya for time-series forecasting and data analysis in a competitive team setting.
- Collaborated within a team to develop forecasting solutions and present insights effectively.
Dec 2023
KAUST Academy AI Specialization
King Abdullah University of Science and Technology
- Selected to participate in a five-day intensive AI and machine learning course.
- Gained hands-on experience in linear regression, logistic regression and neural networks.
- Worked on applied exercises and projects, developing a deeper understanding of machine learning concepts.
Education
B.Sc. Data Science
University of Jeddah, Jeddah, Saudi Arabia · Graduated: 2026
GPA 4.70 / 5.00
Relevant coursework: Applied Machine Learning, Applied Deep Learning, Data Visualization, Database Management, Database Administration, Business Intelligence
High School Diploma
Ridgemont High School, Ottawa, Canada
Projects
Deep Learning Detection of Eye Conditions
EfficientNetB0 CNN that classifies eye conditions from external eye photos. Trained on roughly 4,600 images aggregated from IEEE, Mendeley, and Kaggle, with non-eye images added for robustness. Includes a web prototype for real-time predictions on uploaded images.
Cryptocurrency Price Forecasting
Time-series forecasting of weekly Litecoin (LTC) prices. Compared Linear Regression, LSTM, and ARIMA models on the same data to identify the strongest approach.
Diabetes Predictive Analysis
Applied Machine Learning coursework project predicting diabetes risk from patient health indicators. End-to-end workflow covering data cleaning, EDA, feature engineering, and comparison of multiple classifiers to identify the strongest model.
Food Safety Detector – Nut Image Classification
Deep learning image classifier for identifying nuts, aimed at food safety and allergen detection. Trained end-to-end on a labeled nut image dataset with augmentation for robustness.
Skills
Domains
Languages
Tools & Libraries
Certifications
Contact
Open to data science roles and collaborations. The fastest way to reach me is email.