Fatima Hassan
Senior Data Scientist
Turning messy data into decisions that move the needle.
Senior Data Scientist with 5 years building ML models and data pipelines in fintech and healthcare. I care about models that actually get deployed and used, not just models that score well on benchmarks. Based in Abuja, open to remote roles.
>>> Impact
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Credit Risk Scoring Model
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Patient Readmission Predictor
>>> Skills Matrix
Languages (3)
PythonSQLR
ML/AI (4)
TensorFlowPyTorchScikit-learnXGBoost
Data Engineering (4)
dbtAirflowBigQuerySpark
Visualisation (3)
TableauPower BIPlotly
>>> Projects
Credit Risk Scoring Model
Reduced false rejection rate by 55% while maintaining the same default rate. Approved ₦4.2B in additional loans in the first quarter.
A Nigerian fintech was rejecting 40% of creditworthy applicants due to an outdated rules-based scoring system. Built a gradient boosting model trained on 2M+ loan records, incorporating alternative data signals including mobile money behaviour.
Patient Readmission Predictor
Predicted 72% of readmissions 48 hours before discharge. Pilot reduced 30-day readmissions by 18%.
Lagos University Teaching Hospital needed to identify high-risk patients before discharge to reduce 30-day readmissions. Built a survival analysis model using 5 years of EHR data, integrated with the hospital's existing triage workflow.
>>> Experience
Senior Data Scientist — Risk & Credit
Kuda Bank
2022 – Present
- ▸Built credit scoring models serving 3M+ customers across Nigeria and the UK
- ▸Reduced model deployment time from 6 weeks to 4 days through MLOps pipeline improvements
- ▸Led a team of 3 data scientists and 2 data engineers
Data Scientist — Fraud Detection
Flutterwave
2020 – 2022
- ▸Built real-time fraud detection system processing 50,000 transactions per minute
- ▸Reduced fraud losses by 40% in the first 6 months of deployment
- ▸Presented findings to C-suite and board-level stakeholders quarterly
>>> Open Source
Notebooks, experiments, and open source projects on GitHub.
View repositories →>>> Contact
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