À propos de Catherine
Data Analyst and BI Developer with a background in scientific research, my profile combines analytical rigor, business acumen, and technical expertise to collect, analyze, and interpret strategic data while designing robust decision-making solutions.
With in-depth expertise in SQL, Python, and BI tools (Tableau, Power BI), I master the
entire data processing chain—from collection to visualization—for demanding and complex environments.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Italien
Notions
Accepte de travailler sur site
Genève (jusqu’à 50 km)
Expériences
- CREA - OMNES EDUCATIONCharge de cours en Business IntelligenceEDUCATION & E-LEARNINGdécembre 2025 - janvier 2026 (1 mois)Lausanne, SuisseContexte: Intervention auprès d’étudiants de Master 2 Digital Marketing – spécialisation Data Science & IA.Taches principales:Enseignement des fondamentaux de la BI appliquée au marketing digital, incluant la traduction des problématiques business en KPIs, la conception de tableaux de bord et la formulation de recommandations actionnables.Conception et préparation du contenu pédagogiqueÉvaluation et correction des livrables et des travaux notés
- Cargill Ocean TransportationDATA ANALYSTTRANSPORTSmars 2022 - décembre 2024 (2 ans et 9 mois)Geneva, Switzerland• Within the Data team, supporting Cargill Ocean Transportation division in its digitalization efforts and translating the business needs into tailored data solutions.• Provided analytical support to various team and involved at every stage of the digitalization process and in close collaboration with business analysts and data engineers.• Preliminary analyses, designing workflows, cleaning, preparation, data enrichment, validation, and design KPIs visualisations through dashboards, as well as performance monitoring and improvement.• Achievement:• Assisted Operations in monitoring and analysing the fleet's carbon emissions (4,000 ships annually) to make strategic decisions toward reducing emissions (goal of zero emissions by 2050) by contributing to the development of an automated carbon emissions calculation solution and the creation of a dashboard for detailed analysis of emissions and influencing factors.• Supported Middle Office in analysing the causes of P&L variation compared to forecasts by creating anautomated solution for this analysis, from the collection, preparation, data flow design and data output.• Contributed to the implementation of an application that facilitates interaction between the team entering new trades and the team verifying their accuracy, and reducing errors impacting the P&L.
- eXaltDATA ANALYSTAGENCE & SSIIdécembre 2021 - février 2022 (2 mois)France. Developed and implemented a solution profiling eXalt consultants and recommending them various training content.. Based on Machine Learning algorithms. Presentation of results and recommendations to non-technical stakeholders.Tech stack : Python Machine learning libraires (scikit-learn), Webscraping (NLTK, Beautiful Soup, REST API), ANVIL, Dash
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Formations
- Doctorate in Behavioral BiologyUniversity Paris Nord Sorbonne2002Animal behavior, Social interactions Statistics Methodology Writing skills Adaptability Collaborative work Communication to diverse stakeholders Continuous learning
- Data Analyst - Formation ProfessionnelleWild Code School2022Formation professionnelle intensive basée sur la pratique et sur la réalisation de projets clients. Programme : Collecte, exploration, traitement, modelisation des donnees, creation de tableaux de bord, compréhension des enjeux de la RGPD, Méthodologie Agile SCRUM, Devenir un professionnel de la tech Techniques utilisees: ▸Python (Numpy, Pandas, Matplotlib, Seaborn, Plotly) ▸Machine learning with Python (Scikit-Learn), Natural Language Processing (NLTK, SpaCy) ▸SQL ▸Webscrapping, API RestFul, Flask ▸Git / Github / GitLab ▸Réalisation de tableaux de bord : PowerBI, Tableau, Google Data Studio (maintenant Looker), Dask, Dataiku ▸Excel, Google Sheets ▸Statistiques / probabilites