I'm Shinjini (she / her), an analyst with expertise in data science tehcniques and machine learning within healthcare and a neuroscientist by training.
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💼 I currently work at NHSE London Region working on a range of population heatlh and strategic projects. Some of my projects include:
- Scenario modelling and early analysis of the DERM AI pre‑referral pathway for suspected skin cancer to inform London pilots and evaluation.
- Maternity modelling using demographic and population‑based approaches to assess trends, pressures, and the evolving demand for maternity services across London.
- Developing machine learning models to identify patients at high risk of undiagnosed Chronic Kidney Disease.
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👩🎓 I used to be an experimental neuroscientist working on pre-clinical models of autsim spectrum disorders (ASD) and earned my PhD in 2020 from the University of Edinburgh. I completed my MSc by Research & BSc (Hons) in Biomedical Sciences also from the University of Edinburgh before that.
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🧪 At the University of Bristol I held a Guarantors of Brain Post-doctoral Fellowship continuing to work on ASD. My experimental expertise includes RNA-sequencing, Electrophsiology, Optogenetics, Animal Behaviour and Confocal microscopy.
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💻 I have also completed a Data Science and Machine learning course from iO Academy, and am a mentor on the DHSC-NHSE Data Accelerator January 2026 cohort. My coding repertoire includes Python / Azure, Pyspark/ Databricks, SQL and Matlab.
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📈 My statistical repertoire includes using Statsmodels and SciPy (Python), SPSS and Graphpad Prism.
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🌱 I’m currently learning geospatial analysis using QGIS.