Mustafa Kafyyah
Data Science graduate with hands-on experience in data analysis, machine learning and Power BI: built and designed forecasting models, interactive dashboards and PDPL-aligned guardrails for an LLM chatbot during internship, co-authored a published deep learning paper on eye-condition detection.
Experience
Feb 2026 – May 2026
Data Science Intern
Abdul Latif Jameel United Finance, Jeddah
- Built ML-based auto-financing forecasting models, comparing ARIMA, Random Forest and XGBoost to produce month-by-month projections for full-year 2026 as a benchmark against business targets.
- Developed interactive Power BI dashboards displaying forecast results against existing business targets, enabling management to track forecast performance and historical trends.
- Designed PII-handling guardrails for an internal LLM chatbot, defining rules to protect user personal data in line with Saudi Arabia's Personal Data Protection Law (PDPL).
- Produced executive presentations translating model outputs and key drivers into recommendations for non-technical management.
Dec 2025
Bupa Arabia Datathon
Bupa Arabia Headquarters, Jeddah
- Selected as a university representative for a healthcare analytics datathon on claims prediction.
- Delivered an end-to-end workflow: data cleaning, EDA and ML modeling.
- Visualized insights for non-technical stakeholders.
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.