Francesco Deidda

Conduct business and technical analysis to identify process optimization opportunities and support data-driven decisions. Developed and maintained interactive Power BI dashboards, automated repetitive workflows, and expanded capabilities in Azure-based data platforms.

Managed KNIME server and data pipelines to extract, transform, and validate data integrity across multiple sources. Built statistical models and visual reports with predictive analytics to support executive decision-making and automated recurring data transformation tasks.

Developed data-driven solutions for database structuring and reorganization while evaluating data quality, completeness, and trends. Designed dashboards and reports for senior management and supported migration of legacy datasets toward cloud-based platforms.

Provided monitoring, reporting, and analysis services for European Commission development projects. Supported EU delegations in improving the efficiency of data collection and reporting.

Designed and implemented a centralized M&E analytics system to aggregate field data and enable near real-time insights for decision-making. Built standardized KPI frameworks and delivered data cleaning, transformation, and Tableau-driven visualization for actionable reporting.

Developed M&E toolkits for international NGOs by defining KPI systems to measure project effectiveness. Conducted GIS-based analysis and produced data cleaning, transformation, and visualization outputs to support evaluation and data-driven storytelling.

Course/certificate in AI Finance Boster.

Course focused on data analysis using R.

KNIME certification program focused on collaboration and productionizing of data science.

Intermediate concepts of statistical analysis using Python programming.

Course focused on understanding and visualizing data with Python.

Advanced KNIME Analytics Platform certification program.

Inferential statistics focused on using Python.

Course focused on SQL using PostgreSQL.

Training focused on SQL, Data Science with Python, streaming analytics, and MongoDB.

Tableau certification as an Analyst.

Course focused on probability and statistics using Python.

Course focused on storytelling through data visualization.

Specialization course in statistics with R for social sciences.

Approval certificate in planning for monitoring and evaluation.

Training focused on Humanitarian Need Assessment with KoBoToolbox.

Study program in Development and Population Sciences covering social sciences, economics, and development studies.

Bachelor’s studies in Social Sciences covering qualitative and quantitative research methods and applied sociology.