Romario Philibert

Lead BI and analytics initiatives supporting engineering, operations and executive decision-making in a complex automotive and connected-vehicle environment. Build and industrialize dashboards, data models and automated reporting workflows for RO/EO tracking, tooling, vendor follow-up, CAPEX monitoring and engineering performance. Structure operational data sources, KPI definitions, quality checks and reusable templates to improve reporting reliability and decision-making. Partner with engineering, PMO, finance, quality and digital teams to translate fragmented operational data into decision-ready analytics products. Contribute to BI governance practices, source mapping, documentation and production-ready reporting standards. Support the digitalization of engineering workflows by improving data quality, reporting consistency and visibility across teams.

Lead an analytics, BI and data products advisory practice focused on helping organizations structure their data, KPI frameworks and decision-support systems. Advise clients on analytics strategy, BI governance, data maturity and responsible AI use cases. Design analytics, BI and AI proof-of-concepts, including production-oriented implementations. Conduct data maturity assessments and analytics audits to prioritize transformation roadmaps. Benchmark BI tools based on governance fit, scalability, cost, UX and integration complexity.

Supported public-sector and international programs by structuring performance measurement, reporting systems and data workflows across governance, sustainability, energy access and community development initiatives. Designed KPI frameworks, reporting templates and performance measurement systems for managers, donors and public-sector stakeholders. Improved data quality, indicator definitions and reporting consistency across multi-entity programs. Automated survey, consolidation and reporting workflows using SharePoint, CRM platforms and survey tools. Produced analytical reports and decision-support materials for senior stakeholders, boards and institutional partners.

Conducted applied research in industrial engineering, predictive analytics and urban mobility data science, using large-scale transit datasets to support planning and decision-making. Built ridership forecasting and segmentation models using smart-card and GTFS data to analyze transit demand patterns. Developed reproducible data pipelines in Python, R and SQL for mobility analytics, scheduling and capacity planning use cases. Applied clustering, time-series analysis and exploratory modeling to support resource allocation and operational planning. Produced analytical outputs and visual reports for academic, public-sector and transportation stakeholders.

Worked on applied urban data, mobility and ESG analytics in a research partnership involving IAE Paris Sorbonne, Uber and Inetum/GFI. Led fleet-emissions and mobility analyses using transportation and environmental datasets. Designed territorial KPIs and 15-minute-city indicators for urban sustainability use cases. Built geospatial dashboards and exploratory models for mobility, emissions and smart-city analytics. Produced analytical outputs for academic, municipal and private-sector stakeholders.

Helped a small clothing brand grow its operations by improving internal organization and everyday processes. Managed basic planning, budgeting, and coordination tasks to keep production on track. Participated in sales, partnerships, and customer relations as the business expanded. Supported branding efforts and collaborated with designers on new product ideas. Contributed to building a positive work environment and supporting a growing team.

Developed applied analytics and machine learning solutions for transport operations, maintenance and workforce planning. Delivered 4+ analytics POCs covering predictive maintenance, HR forecasting, demand estimation and occupancy-rate forecasting. Built Python/SQL data pipelines and analytical features from operational, HR and maintenance datasets. Supported operational dashboards and decision-support workflows using Azure and BI tools. Collaborated with data leadership and operations teams to integrate new datasets into analytics workflows.

Worked on ESG, emissions and extra-financial reporting across EDF’s energy portfolio, covering nuclear, renewable and thermal assets. Automated Scope 1, 2 and 3 emissions reporting workflows. Improved data consistency, traceability and reporting accuracy for sustainability indicators. Supported ESG dashboards and internal reporting templates for cross-functional teams.