Sebastian Gonzalez-Martinez

Sebastian Gonzalez-Martinez

Advanced analytics

Education

MSc Psychological Research Methods with Data Science, University of Sheffield, Distinction

BSc Psychology (Honours), St. Lawrence University, Cum Laude

Professional career

Senior Information Analyst, Patient Safety Team, NHS England, London (December 2022– present)
  • Designed scalable, reproducible analytical pipelines that reduced delivery timelines from 90 days to 30 days and standardised data extraction across national databases.
  • Built and maintained reusable API driven data ingestion pipelines (via NHS ODS), ensuring accurate data integration from 10,000+ healthcare organisations across England.
  • Deployed and owned a production-grade Tableau dashboard for national medication safety monitoring, enabling self-service insights across NHS organisations (+600 views) and data driven insights for official quality improvement reports.
  • Created statistical monitoring frameworks to detect significant deviations in safety indicators, applying statistical process control limits and hypothesis testing to distinguish signal from noise.
  • Validated and delivered over 100 curated, analytics-ready data extracts in response to NHS England’s statutory review duties, supporting development of medical guidelines and public-facing reporting.
  • Mobilised GitHub based workflows and Azure DevOps based workflows, enforcing coding standards and process documentation.
  • Improved team adherence to good coding practices by mentoring team members through peer reviews in more than 100 pull requests on GitHub.
  • Created and managed data collection procedures to enable the Martha’s Rule Safety Improvement Programme to analyse submissions from 235 hospital sites in England.
  • Automated reporting for the Martha’s Rule Safety Improvement Programme, reducing turnaround times from 3 weeks to 2 hours.
  • Identified and resolved data quality issues cross-functionally with product teams and data engineers to improve data reliability of LFPSE, a beta service used to record patient safety incidents in England.
  • Delivered national statistical publications used in NHS policy, public reporting, and patient safety transparency initiatives. Key publications included the Patient Safety Event Data Quarterly Publication and the NRLS to LFPSE Transition Report.

Analytical Officer, Cancer Programme, NHS England, London (June 2022 - December 2022)
  • Produced rapid, high-impact analysis for senior stakeholders, enabling data-driven decision-making in a high priority national programme.
  • Reduced manual workload and enhanced productivity by building and standardising KPI reports, reducing turnaround times by 30%.
  • Reviewed internal publications, ensuring accuracy and consistency for wider use by NHS organisations.

Data Analyst, Advanced Analytics Team, East Suffolk and North Essex NHS Foundation Trust, Colchester (October 2021 – June 2022)
  • Modelled and analysed patient-level healthcare data to generate actionable insights supporting clinical and operational decision-making.
  • Designed and improved business intelligence reporting aligned with organisational priorities.
  • Translated complex statistical findings to non-technical stakeholders, providing clear and accurate interpretation for decision-making.
  • Promoted adoption of advanced analytics across the organisation which encouraged evidence-based management of health services.

Technician Data Assistant, Summer Placement, National Technician Development Centre (NTDC), Sheffield (July 2021 – August 2021)
  • Produced targeted insights for different participant groups by identifying sector-wide and population-specific trends via thematic analysis of survey data.
  • Assessed historical data on course attendance which generated actionable insights for training planning.
  • Evaluated the relevance and impact of existing training programmes based on emerging trends, identifying gaps and areas for improvement.
  • Synthesised findings into a clear, actionable report, ensuring relevance and accessibility to stakeholders.

Research Assistant & Data Entry Clerk, Psychiatry, University of Massachusetts Medical School, Worcester (USA) (July 2019 – June 2020)
  • Conducted statistical analysis of clinical assessment data and created presentations which informed researchers, clinicians, and officials at the Department of Public Health of Massachusetts.
  • Managed clinical assessment data in SPSS, supporting evaluation activities, presentations, and academic publications.
  • Ensured programmes’ compliance with government guidelines by verifying patient eligibility with clinical teams and government agencies.
  • Verified treatment compliance by assessing implementation, fidelity, improvement, and adaptation of patient services with clinical staff and researchers.

Skills

Technical suite: Python R SQL Markdown GitHub Azure DevOps APIs Tableau

Analytics and modelling: Descriptive statistics statistical modelling hypothesis testing inferential methods XGBoost random forests NLP

Visualisation and reporting: Plotly ggplot2 Matplotlib Quarto interactive report development

Languages: English (C2) Spanish (C2) French (B1)

Training

The Health Service Modelling Associates (HSMA) Programme , NIHR Applied Research Collaboration of the South West Peninsula, April 2024 – February 2025

Intensive python training programme in applied data science and operational research. Delivered practical projects using machine learning (XGBoost, random forests), NLP, and simulation (DES) to solve real-world healthcare problems. Funded by The National Institute for Health and Care Research and accredited by the Association of Professional Healthcare Analysts (AphA).

Specialty areas: Machine learning (ML) XGBoost random forests natural language processing (NLP) discrete event simulation (DES) geo-spatial analysis neural networks synthetic data generation

Publications