01Public repository
Breast Cancer Classification in R
Exploratory analysis and statistical machine learning on the Wisconsin dataset, including generalized linear models, decision trees, ROC/AUC evaluation, and PCA.
Data Scientist · Dubai
I turn ambiguous data into clear business decisions.
I build rigorous data products from the first messy question to a measured outcome—connecting sound experimentation, reliable ML systems, and recommendations people can act on.
PythonSQLRTensorFlowPostgreSQLFrom question to outcome
Selected projects from GitHub.
Six data, machine-learning, and database projects selected from 14 public repositories.
02Public repository
CIFAR-10 Image Classification
A TensorFlow/Keras convolutional neural network with architecture experiments, confusion matrices, data augmentation, and hyperparameter search.
03Public repository
Neural Network for Bank Classification
Binary classification with Keras, comparing network architectures and evaluating predictions with confusion matrices and classification reports.
04Public repository
Cryptocurrency Data Visualization
A focused analysis exploring how data-visualization techniques can communicate patterns in cryptocurrency data.
05Public repository
Data Science in Formula 1
A research project applying data-science thinking to Formula 1 and presenting the work as a concise analytical report.
06Public repository
PostgreSQL System Prototype
A relational system prototype with customer, product, transaction, and warehouse data, plus stored functions and validation triggers.
More projects include Python systems, database security, computer networks, and big-data research.
View all 14 projectsUseful depth across the whole system.
Strong foundations, modern practice, and enough engineering to get the work used.
Python
Data analysis, scikit-learn workflows, TensorFlow, and Keras.
R
Statistical exploration, generalized linear models, trees, and PCA.
SQL & PostgreSQL
Relational design, stored functions, triggers, and analytical queries.
Deep Learning
CNNs, architecture comparison, augmentation, and hyperparameter search.
Data Storytelling
Visualization and research that make technical findings easier to use.
Research at the intersection of ECGs and machine learning.
Published cardiovascular research listed on LinkedIn, with direct links to each journal record.
Journal publication
Prognostic Characteristics of Patients with Electrocardiograms Masquerading as ST Elevation Myocardial Infarction
American Heart Association Scientific Sessions 2024
Journal publication
Predicting ECGs masquerading AS STEMI with machine learning
The study behind the practice.
Academic foundations in data science, information systems, and technology.
Nov 2021 – Nov 2023
University of Sunderland
MSc, Computer Science with Data Science
Advanced study across machine learning and data mining, data visualisation, big data, secure database systems, software engineering, and research practice.
Research focus: ECG data and deep-learning models for predicting myocardial infarction.
2013 – 2018
University of Jordan
BSc, Business Information Systems
Undergraduate study connecting business processes, information systems, databases, and technology.
2012 – 2013
Al Bayan School — Jordan
General Secondary Education Certificate, IT Stream
Information technology stream.
Clear thinking, careful evaluation, and a drive to build what matters.
I’m Asala Aljazaery, an experienced data scientist based in Dubai with an MSc awarded with Distinction. My priorities are straightforward: fewer ornamental models, more careful evaluation, and a relentless focus on the decision at the other end.
I work best with teams that value intellectual honesty, clear communication, and products that survive contact with reality.