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Julia María Sánchez Tormo

Julia María Sánchez Tormo

Senior Data Scientist

Azahar Data Insights | Spain

Technologies

My Portfolio Highlights

My New Track

Text Mining

My New Course

Introduction to Importing Data in R

My New Track

Text Mining

Healthcare Data Storyteller | Crafting strategic narratives from biomedical data

My Work

Take a look at my latest work.

course

Introduction to Importing Data in R

course

Cleaning Data in R

course

Reshaping Data with tidyr

course

Introduction to Importing Data in R

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Data Science For Business Python Data Science Mastery

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Importing Data in R
Cleaning Data in R
Reshaping Data with tidyr
Intermediate Importing Data in R

My Work Experience

Where I've interned and worked during my career.

Data Scientist & Biostatistician | Jul 2020 - Present

Data Scientist & Biostatistician

Co-founder and lead data scientist specializing in healthcare analytics and biostatistics. Apply advanced statistical modeling, machine learning, and digital epidemiology techniques to transform complex biomedical data into strategic decisions for hospitals, research institutions, and international health organizations. Key responsibilities: - Develop predictive models for clinical research and public health surveillance - Design interactive dashboards and Shiny applications for data visualization - Lead statistical analysis for peer-reviewed publications in indexed journals - Provide strategic consulting on study design and data collection methodologies - Collaborate with multidisciplinary teams across Spain, Guatemala, Ecuador, USA, and Canada Notable projects include machine learning optimization for ICU patient outcomes, pharmacy referral systems improving accuracy from 60% to 80%, and biofortified corn impact modeling predicting 45% to 28% reduction in child malnutrition. Published 20+ articles in journals including Nutrients, Frontiers in Pharmacology, and PLoS ONE, focusing on infodemiology, clinical machine learning, and health policy analysis.
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Centro Internacional Virtual de Investigación en Nutrición (CIVIN) | Apr 2020 - Jul 2020

Data Science Specialist

Biostatistical specialist providing advanced statistical analysis and methodological support for nutrition research projects at the International Virtual Research Center in Nutrition. Key responsibilities: - Conducted statistical analysis for the project "Control de la calidad y la trazabilidad de los medicamentos biopeligrosos (MBP) a través del Hospital a Domicilio mediante modelos Big Data aplicados al análisis de riesgos" funded by Instituto Carlos III (2016-2020) - Managed clinical research databases with focus on data quality and integrity - Performed exploratory data analysis and questionnaire analysis for healthcare studies - Applied multivariate statistical methods and survival analysis techniques - Collaborated with multidisciplinary research teams to ensure methodological rigor This role involved applying biostatistical expertise to support evidence-based research in nutrition and healthcare, contributing to projects with significant impact on public health policy and clinical practice. Developed skills in clinical data management, advanced statistical modeling, and research methodology within the international nutrition research community.

Bellvitge Biomedical Research Institute - IDIBELL | Sep 2019 - Jun 2020

Data Science Specialist

Biostatistical specialist conducting advanced statistical analysis for critical care nutrition research at one of Spain's leading biomedical research institutes. Key responsibilities: - Led statistical analysis for the "Evaluation of Nutritional Practices in the Critical Care (ENPIC)" project, analyzing data from 600+ critically ill patients across multiple Spanish ICUs - Developed Master's thesis: "Relationship between the obesity paradox and enteral nutrition in critically ill patients: Survival and multivariate analysis" achieving Distinction grade - Conducted comprehensive exploratory data analysis of complex clinical databases - Applied advanced statistical methods including linear regression with regularization techniques, variable selection methods, and logistic regression models - Implemented machine learning algorithms: k-NN, Naive Bayes, Decision Trees, Random Forest, Artificial Neural Networks, and Support Vector Machines - Performed survival analysis to evaluate clinical outcomes and mortality patterns in ICU patients This role involved investigating the controversial obesity paradox in critical care settings, challenging traditional assumptions about BMI and clinical outcomes in intensive care. The research contributed to optimizing nutritional strategies for critically ill patients and provided valuable insights for clinical decision-making in ICU environments.

Universitat de València | Jan 2009 - Jul 2014

PhD Student

Conducted doctoral research in oxidative stress and cancer biochemistry at the Department of Biochemistry and Molecular Biology, Faculty of Medicine, Universidad de Valencia. Dissertation: "Glutathione in cancer cells: effect of natural polyphenols and possible therapeutic applications" - awarded Sobresaliente Cum Laude with distinction. Key research activities: - Participated in projects within the Oxidative Pathology Unit focusing on oncological and cardiovascular diseases - Investigated molecular mechanisms of glutathione in cancer cells and the therapeutic potential of natural polyphenols - Contributed to PREDIMED network research on Mediterranean diet effects in cardiovascular disease prevention (Instituto Carlos III funding 2007-2011) - Collaborated on studies examining p53-dependent molecular signaling pathways and oxidative stress modulation in cardiovascular diseases - Conducted research on genetic repair systems and signaling pathways in essential arterial hypertension - Published findings on oxidative stress biomarkers and DNA damage in gastric carcinoma - Developed expertise in biochemical analysis, cell culture techniques, and molecular biology methods This research contributed to understanding the role of natural antioxidants in cancer therapy and established foundational knowledge in oxidative stress mechanisms that later informed data-driven approaches to biomedical research.

My Education

Take a look at my formal education

Master's degree in Bioinformatics & BiostatisticsUniversitat Oberta de Catalunya | 2020
Doctor of Philosophy (PhD) in Clinical Biochemistry & ImmunologyUniversidad de Valencia | 2014
Graduate in ChemistryUniversidad de Valencia | 2008

About Me

Julia María Sánchez Tormo

PhD Biochemistry & MSc Biostatistics. Data scientist specialized in healthcare analytics, machine learning for clinical research, and digital epidemiology. Co-founder at Azahar Data Insights transforming biomedical data into strategic decisions.

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