Laura Alonso

• Apply advanced analytical techniques to extract meaningful insights from complex datasets, driving strategic decisions. • Create detailed reports that communicate findings and recommendations to stakeholders. Creation of dashboards to visual representations of data. • Work with large data sources, design and implement scheduled queries to automate data processing, • Utilize GitHub for version control, ensuring that all data scripts and analytics processes are systematically managed and up-to-date.

• Planned/executed the architecture for raw data intake, ensuring robust infrastructure. • Addressed data inconsistencies and constructed datamarts. Developed SQL queries and programming the ingestion, enabling deeper data exploration and analysis. • Designed and implemented dashboards that provided business insights, supporting strategic decision-making . • Identify data patterns, make predictions, and enhance decision-making processes using ML (modelling, predictive analysis, clustering)

Main duties. Large data bases depuration and management, statistical analysis, psychometry, understanding and generate conclusions. Results reporting and visualization. Development and validation of customized test and questionnaires. Other duties. Development of customized courses, translate and adapting English-Spanish documents, marking and tabulation of questionnaires. Work fields. Education, sociology, psychology, labour and organizations.

Main duties. Provide advise at different stages of the investigations: create the investigation design, collect de data, clean data bases, statistical and psychometric analyses and writing and reporting results.

Main duties. Development of the practice part of Data analysis, Social psychology and Psychodynamic intervention subjects. Assess and mark works.

https://www.imf-formacion.com/masters-profesionales/master-deep-learning-inteligencia-artificial

https://www.imf-formacion.com/masters-profesionales/master-deep-learning-inteligencia-artificial

https://www.imf-formacion.com/masters-profesionales/master-deep-learning-inteligencia-artificial

Programming languages and data processing programs (R, SPSS, Excel), data analysis and statistical modeling techniques, psychometry (IRT, CTT), linear models, SEM, aggrupation techniques, epidemiology investigation, measurement in clinal field, meta-analaysis.

Working practices. “Centro Hermanas Hospitalarias”, San Luis. Palencia. Monitoring of psychiatric patients. Bachelor thesis: "Psychological Variables Associated with Therapeutic Adherence in Patients with Chronic Obstructive Pulmonary Disease (COPD)".