Freelancer profile translated to English.

Description

Do you have scattered data, hard-to-maintain Excel files, or need reliable indicators to manage a project?

I help you transform your raw data into clear, actionable, and documented deliverables: clean databases, dashboards, statistical analyses, visualizations, reports, and methodological notes.

With a PhD in Social Sciences and a background in physics, mathematics, and modeling, I have built my career at the intersection of quantitative analysis, digital humanities, and complex systems. During my PhD, I developed a relational SQL database and a relative chronology algorithm combining multi-layer network analysis, similarity measures, NLP/AI, and textual corpus processing. I currently work as an external scientific consultant for the University of Lausanne, on a project funded by the Swiss National Science Foundation, as the person responsible for data processing, statistical and network analysis, and methodological writing.

Possible missions:

Data set cleaning, structuring, and validation
Reporting, KPIs, and activity monitoring
Dashboards in Excel or Power BI
Exploratory and statistical analyses
Network and relational data analysis
Corpus processing, text mining, and initial NLP approaches
Annotated charts, thematic maps, summary tables, and analysis reports

Tools: SQL, R, Python, Excel/Power BI, Gephi/Cytoscape, QGIS.

I pay particular attention to data formatting, the readability of results, and the clarity of deliverables. With strong writing skills, I accompany my analyses with comments, summaries, or methodological notes to facilitate their understanding and use.

Languages

French
Native or bilingual
English
Fluent
Italian
Conversational

Workplace preferences

Remote only

Primarily works remotely

Université de Lausanne
Data Consultant — Network and Relational Data Analysis
September 2025 - Today (9 months)
Data consultant mission for a project funded by the Swiss National Science Foundation, led by the University of Lausanne. Analysis of a complex network of actors, organizations, and international circulations.

Data structuring and processing, statistical analysis, relational modeling, and network visualization to identify central actors, communities, and interaction dynamics.

Production of interpretable analyses and contribution to the methodological formalization of a collective article. Skills used: network analysis, statistics, data structuring, visualization, relational data, actor systems.
Université fédérale de toulouse
PhD in Social Sciences - Data Analysis, Complex Networks & NLP
September 2021 - March 2025 (3 years and 6 months)
Doctoral research at the intersection of social sciences and data analysis. Transformation of a complex historical corpus into a relational SQL database, information structuring, coding of actor relationships, and statistical analysis of observed dynamics.
Implementation of network analysis, visualization, textual similarity, and AI/NLP methods to produce interpretable results from heterogeneous data. Development of a relative chronology algorithm based on multi-layer networks and computational corpus analysis.