About Ndeye Aissata
- Set up automated reporting
- Build interactive dashboards (Power BI / Tableau)
- Clean and analyze their data (Python, Excel, SQL)
French
Native or bilingual
English
Fluent
Spanish
Basic
Experience
- UNESCOGrants Management - Reporting - Data AnalystJune 2024 - Today (2 years)Siège de l'APHP, Paris, FranceDevelopment of Power BI dashboards for monitoring local unit financial reports (submissions, delays, completeness). Structuring and updating the grants database, with financial flow modeling. Quality control of data from financial reports submitted by hundreds of offices. Management of access rights to dashboards and automation of distribution to operational teams. Contribution to improving the monitoring processes for funding agreements. Administrative support for managing contractual processes, interacting with implementing units. Prepare financial reports for donors. Follow up with implementing units on administrative processes related to agreements. Keep the database of narrative and financial report submissions for signed agreements up to date. Contribute to the organization and follow-up of meetings with implementing units and donors, including note-taking, preparing minutes or presentations. Mapping of multi-source financial data for consolidation of monitoring reports. Updating the financial report submission database. Monitoring administrative processes related to agreements with implementing units. Assistance and follow-up of meetings with implementing units and donors.
- PolytechSocial Media Data AnalystOctober 2023 - June 2024 (8 months)Clermont-Ferrand, FranceData collection: Using data extraction tools (social media platform APIs). Analysis of social interactions. Measurement of user behaviors (likes, shares) and extraction of insights. Reporting and dashboards: Using data visualization tools (Power BI) to create reports and dashboards that help marketing and sales teams make data-driven decisions.
- BuyCoData Scientist - Data AnalystOctober 2022 - October 2023 (1 year)Marseille, FranceData collection, cleaning, and quality control (Dremio / Metabase / SQL). Data architecture modeling in marketing. Design of database models during the research phase. Monitoring work until production (DBT, Visual Code). Use of data stack and data visualization tools to meet business needs. Development of a classification model to predict logistical delays with 85% accuracy (Machine Learning, Deep Learning, Predictive Analysis, Classification...) using Python.
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Education
- ENGINEERINGPOLYTECH CLERMONT-FERRANDINGÉN
- Engineering Degree inPolytech Clermont-Ferrand - National Polytechnic InstituteDiplôme d'Ingénieur en