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I am a data scientist with 5+ years of experience turning complex data into actionable insights across Retail, Finance, and Healthcare. I translate business problems into technical solutions, build models, and deploy them to production while collaborating with stakeholders to drive impact. I enjoy collaborating with clinicians, researchers, and IT teams to deploy models, automate workflows, and improve patient outcomes, resource allocation, and decision making. My background spans Azure, Python, R, SQL, and data visualization with Power BI.…I am a data scientist with 5+ years of experience turning complex data into actionable insights across Retail, Finance, and Healthcare. I translate business problems into technical solutions, build models, and deploy them to production while collaborating with stakeholders to drive impact. I enjoy collaborating with clinicians, researchers, and IT teams to deploy models, automate workflows, and improve patient outcomes, resource allocation, and decision making. My background spans Azure, Python, R, SQL, and data visualization with Power BI.

Henry Nanji

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I am a data scientist with 5+ years of experience turning complex data into actionable insights across Retail, Finance, and Healthcare. I translate business problems into technical solutions, build models, and deploy them to production while collaborating with stakeholders to drive impact. I enjoy collaborating with clinicians, researchers, and IT teams to deploy models, automate workflows, and improve patient outcomes, resource allocation, and decision making. My background spans Azure, Python, R, SQL, and data visualization with Power BI.…I am a data scientist with 5+ years of experience turning complex data into actionable insights across Retail, Finance, and Healthcare. I translate business problems into technical solutions, build models, and deploy them to production while collaborating with stakeholders to drive impact. I enjoy collaborating with clinicians, researchers, and IT teams to deploy models, automate workflows, and improve patient outcomes, resource allocation, and decision making. My background spans Azure, Python, R, SQL, and data visualization with Power BI.

Available to hire

I am a data scientist with 5+ years of experience turning complex data into actionable insights across Retail, Finance, and Healthcare. I translate business problems into technical solutions, build models, and deploy them to production while collaborating with stakeholders to drive impact.

I enjoy collaborating with clinicians, researchers, and IT teams to deploy models, automate workflows, and improve patient outcomes, resource allocation, and decision making. My background spans Azure, Python, R, SQL, and data visualization with Power BI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist / Machine Learning at NHS System Analytics Unit

March 1, 2022 - Present

Collaborated with healthcare professionals, researchers, and IT teams to gather requirements and integrate machine learning solutions into clinical workflows. Developed and deployed an ML model as a REST API on Azure to predict patients at risk of Coeliac Disease, and integrated it into a Power BI dashboard for batch predictions to enable forecast screening and optimize resource allocation. Built a predictive model to identify key risk factors for cardiovascular disease and flag high-risk patients for targeted interventions, contributing to improved patient care.

Data Scientist / Machine Learning Consultant at Machine Learning Digital Research Service Ltd

May 1, 2019 - February 28, 2022

Performed machine learning experiments to validate approaches for business use cases and optimized model performance through feature selection and hyperparameter tuning. Key projects included predicting medical expenses across population segments (20% improvement), identifying high-risk loan applicants (reduced defaults by 20%), and deploying a Flask-based predictive app for early signs of diabetes (reducing delayed diagnoses by 25%).

Research Data Scientist at Royal Marsden Hospital

October 1, 2017 - May 31, 2019

Engaged with stakeholders to deliver end-to-end projects using models for classification, regression, clustering, and survival analysis to support personalized therapy decisions. Built a predictive model for 30-day readmissions, mined biomarkers for drug effectiveness, and analyzed cancer data to predict treatment response and support therapy decisions. Served as statistician on a project investigating molecular predictors of resistance to chemotherapy in metastatic colorectal cancer and contributed to survival analyses published in the European Respiratory Journal.

Senior Data Analyst / Power BI Developer at Shulan IT Consultancy

January 1, 2016 - October 31, 2017

Developed Power BI dashboards with interactive charts and filters to track sales trends. Implemented end-to-end data pipelines ingesting from relational databases, storing in S3 and loading into Redshift for reporting. Created data models (star schema) and customized dashboards with dynamic filtering and DAX KPIs. Applied row-level and object-level security to ensure compliant data access.

Data Analyst Consultant at Planit Testing

January 1, 2015 - January 31, 2016

Analyzed mental health data to identify trends across gender, age, and workplace factors. Created visualizations using Matplotlib and performed regression analyses to understand advertising spend impact on sales, informing budget decisions that improved ROI. Conducted hypothesis testing to evaluate feature impact on user engagement.