About · Curriculum Vitae
I'm an MSc Data Analytics postgraduate at London Metropolitan University, moving from mathematics education and healthcare administration into clinical and behavioural analytics. Two degrees taught me to explain hard things clearly; the day job taught me to handle data that must be right the first time.
My dissertation — HF-RISK — audits leakage in heart-failure outcome prediction and still lands at 0.710 AUROC internally. My behavioural work turns 845 messy human trials into a readable signal. Both share one rule: honest numbers only.
London, UK
Location
MSc Data Analytics
Reading · 2026
Ladbrokes / Entain
Day role
Open to graduate roles
Availability
01 · Experience & Education
Service leadership, AI evaluation, and analytics academia — each strand feeds the others.
Current experience
Education
02 · Timeline
The full record — every role, every project, every date I can stand behind.
Leading the floor: shift rota, complaint resolution, and coaching a team on service standards under Gala Coral Group brand guidelines.
Scored and calibrated AI-generated responses against rubric quality bars; fed systematic failure patterns back to the model team.
Behavioural data internship (London Met module): cleaned and analysed 845 recorded trials of spatial card-sorting; built the interactive analysis viewer.
Expected completion July 2026. Dissertation: HF-RISK, clinical outcome prediction with a full leakage audit and Streamlit prototype.
Care records, log validation, incident tracking and audit readiness; built the website for a secondary company (chi ezahomecare.co.uk).
Safer Neighbourhoods volunteering: community engagement and local safety outreach in London.
Four horizons (28-day, 3-month, 6-month mortality; 6-month readmission) on 2,008 Zhang/PhysioNet patients. 143 final predictors after a leakage audit. XGBoost: 0.710 AUROC internal at six months, 0.599 direct transfer to MIMIC-IV (42,990 admissions). Random Forest wins the short horizons (0.781 / 0.839). SHAP maps a cardiorenal axis; Streamlit prototype validated with UK cardiologists.
Two undergraduate degrees: mathematics first, then education — the pairing behind clear technical communication.
03 · The toolbelt
What I reach for, in order of frequency.
Languages & libraries
Methods
04 · What I'm like on a team
Professional skills
Beyond work
Especially Egypt — temple economies to tomb logistics.
Long slow distance; discipline as data collection.
Habits, systems, and honest self-review.
New methods, new datasets, new questions.
Math trained my thinking.
Education trained my communication.
Data analytics connects both.