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 experience

Analyst - Patient Safety Team, NHS England, London (December 2022– present)
  • Led national statistical analysis of NHS patient safety incident data, informing government and lay audiences via key publications such as the Patient Safety Event Data Quarterly Publication and the forthcoming Patient Safety Event Data Transition Report.
  • Developed reproducible analytical pipelines to standardise data extraction across national databases, reducing delivery timelines from 90 days to 30 days.
  • Validated and delivered over 80 data extracts, in response to NHS England’s statutory review duties, which produced new medical guidelines and informed the public.
  • Upgraded extraction of administrative data for 10,000+ healthcare organisations across England, using the NHS Organisation Data Service (ODS) API, which ensured data accuracy.
  • Mobilised GitHub based workflows, enforcing coding standards and conducting peer reviews through more than 80 pull requests.
  • Secured data reliability for national reporting by identifying and resolving issues with data quality team.
  • Orchestrated design and implementation of a Tableau dashboard which monitored medication safety indicators and supported the Medicines Safety Improvement Programme.
  • Applied statistical process control (SPC) methods and developed interactive visualisations which improved analysis quality.
  • Automated reporting for the Martha’s Rule Safety Improvement Programme, reducing turnaround times from 3 weeks to 2 hours.
  • Conducted ad-hoc analysis of hospital activity data which sped up policy response to urgent patient safety questions.

Analytical Officer - Cancer Programme, NHS England, London (June 2022 - December 2022)
  • Generated rapid, high-profile analysis and reporting for programme directors and deputies which supported data-driven decision making.
  • Produced and reviewed internal publications, ensuring accuracy and consistency for wider use by NHS organisations.
  • Standardised KPI reports in R which reduced manual workload and enhanced productivity.

Data Analyst - Advanced Analytics, East Suffolk and North Essex NHS Foundation Trust, Colchester (October 2021 – June 2022)
  • Analysed, modelled, and interpreted patient-level datasets, resulting in actionable insights that informed patient care and operational planning.
  • Designed and streamlined on-demand business intelligence reports which 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)
  • Standardised survey data from 10 universities, creating a unified dataset for strategic analysis.
  • Identified sector-wide and population-specific trends via thematic analysis which produced targeted insights for different participant groups.
  • Assessed historical data on course attendance and popularity 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 clear, actionable reports, collaborating with project leads to ensure relevance and accessibility to stakeholders.

Research Assistant & Data Entry Clerk (Psychiatry), University of Massachusetts Medical School, Worcester (USA) (July 2019 – June 2020)
  • Conducted descriptive statistical analysis of clinical assessment data and created presentations which informed researchers, clinicians, and officials at the Department of Public Health of Massachusetts.
  • Recorded and managed clinical assessment data in SPSS, supporting evaluation activities, presentations, and academic publications.
  • Collaborated with clinical teams and government agencies to verify patient eligibility which ensured programme compliance with government guidelines.
  • Monitored programme implementation data across multiple research projects, assuring reliability for analysis.
  • Verified treatment compliance by assessing implementation, fidelity, improvement, and adaptation of patient services with clinical staff and researchers.
  • Built and maintained a centralised EndNote library which streamlined literature citations across grant applications and research papers.

Skills

Technical suite: Python R quarto GitHub SQL Azure DevOps Microsoft Suite

Analytical methods: Statistical analysis modelling data wrangling interactive data visualisation API querying reproducible analytical pipelines

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

University-level training programme focused on Python for data science and operational research. Funded by The National Institute for Health and Care Research and accredited by the Association of Professional Healthcare Analysts (AphA).

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

Publications