Yannis Merzoug

Data Scientist at Freelance

Design and implementation of predictive models and clustering algorithms (Python, R, XGBoost, scikit-learn) for clients in various sectors, including healthcare, sports analytics, and business intelligence. Development of interactive dashboards and BI solutions using Power BI and R Shiny, from data integration to final visualization. Automation of data processing workflows and report generation (SQL, VBA, Power Query, Python scripts). Consulting on data-driven strategy: translating business objectives into measurable indicators and analytical models. Support for clients in data cleaning, quality control, and GDPR-compliant data governance. Collaboration with stakeholders to define KPIs, interpret results, and produce actionable insights. Continuous monitoring of AI and machine learning tools to propose innovative solutions adapted to each project.

Data Scientist / Statistician at ARS Bourgogne Franche Comté

Data Processing and NLP: Collection and consolidation of national ambulance service data using natural language processing models, ensuring precise insights into regional needs. Statistical Analysis: Conducted advanced statistical analyses to identify risk areas and predict ambulance needs to ensure optimal coverage. Shiny Application Development: Designed and implemented an R Shiny application with a dynamic dashboard: Activity Monitoring: Real-time visibility of ambulance operations, service specifications, and detection of shortages nationwide. Simulation Model (Machine Learning): Allows regional health agencies to test various organizational scenarios and anticipate potential gaps, thereby optimizing ambulance distribution. Financial Insights: Dedicated visualization of healthcare expenditures, illustrating the impact of organizational changes to facilitate better budget management.

Data Scientist at Université Savoie Mont Blanc

Application Development: Content development and creation of a web platform (GitLab & R Shiny). Statistical Analysis: Creation of statistical indicators

Data Scientist at BIA Group

Data extraction and processing (R, Excel, SAP). Data Analysis (R): Designed a statistical model to predict the lifespan of mechanical components. Creation of dashboards via an R Shiny application using an inventory optimization and forecasting model.