About me
About me / Career
Professional background.
Alejandro Navas González · Data science and analytical tools
I am a data scientist with experience across financial services, insurance, healthcare and scientific research. I use R, Python and SQL for data preparation and validation, statistical modelling and workflow automation. I also develop R packages and Shiny applications for data analysis and visualisation.
Present
Telómera
Data scientist and bioinformatician
I analyse routine clinical data to address health research questions, from data preparation to the interpretation of results.
- Defining cohorts and constructing clinical and treatment variables.
- Integrating, cleaning and validating data with R and SQL.
- Developing reproducible workflows for analysis and the communication of results.
R · SQL · Clinical data · RWE
April 2022 — October 2024
Intrum
Data scientist
Modelling and automation to improve debt-recovery operations and call-centre performance.
- Developing predictive models for operations.
- Automating debt-recovery workflows.
SQL · Python · R
September 2021 — April 2022
CGI
Data scientist · Banco Santander
Large-scale banking data analysis within a cross-functional support team.
- Cleaning and preprocessing data for analysis and modelling.
- Improving data workflows and query performance.
Apache Hive · PySpark · Python
March 2021 — September 2021
M2C Consulting
Systems architect · Mutua Madrileña
Designing and optimising applications and workflows for the insurance sector.
- Designing a claims-management system.
- Integrating automated reporting tools.
Pegasystems · Systems architecture
January 2020 — July 2020
HelixBioS
Bioinformatician
Rhizosphere microbiome analysis and the study of ecological relationships between microbial communities.
- Network and regression models using 16S rRNA samples.
- Analytical reports for microbiome research.
R · Microbiome · Network models
Education
The foundations of my work.
Master’s in Big Data and Business AnalyticsUniversidad Complutense de Madrid · 2021–2022
University-specific postgraduate degree · 60 ECTS · Madrid, Spain
Universidad Complutense de Madrid (UCM) is a public university in Spain. This professionally focused postgraduate programme connects large-scale data processing with the application of analytics to business problems.
Areas of studyData analysis and programming with R and Python; data processing with Hadoop and Spark; applications of analytics in business.
Master’s in Bioinformatics and BiostatisticsUOC · Universitat de Barcelona · 2019–2020
Official university master’s degree · 60 ECTS · Online
A joint programme offered by Universitat Oberta de Catalunya (UOC), an online university based in Barcelona, and Universitat de Barcelona (UB), Spain. It combines computational and statistical methods to analyse and interpret biological and biomedical data.
Areas of studyComputational genomics and omics data analysis; statistical inference and regression models; bioinformatics programming and data analysis software.
Bachelor’s in BiotechnologyUniversidad Politécnica de Madrid · 2015–2019
Official bachelor’s degree · 240 ECTS · Madrid, Spain
Universidad Politécnica de Madrid (UPM) is a public university with a focus on engineering and technology. This four-year degree combines the life sciences with engineering fundamentals to understand biological systems and develop biotechnology applications.
Areas of studyMolecular biology, biochemistry and genetics; microbiology and genetic engineering; experimental design and quantitative analysis of results.
ECTS: European Credit Transfer and Accumulation System.
Selected certifications
Learning with credentials.
- Data Analyst with RDataCamp · June 2023
- Algae BiotechnologyUC San Diego · December 2022
- Introduction to Bioconductor in RDataCamp · August 2022
- Pega Certified System Architect 8.4Pegasystems · June 2021
- Certificate in Advanced EnglishCambridge Assessment English · August 2020
Personal projects · Angnar / Tessómica
From methodology to useful tools.
I explore sports data with matchpointR and WorldFootballR Downloader, and biological data with Andera and rnaseqr. Each project starts with a question and the characteristics of its data.
I develop R packages and Shiny applications to automate tasks, make methods accessible and help people explore and communicate results.