Freelancer profile translated to English.
Back to original languageAbout Naïl
Hello,
I'm Naïl, a data analyst/scientist based in Paris. I'm glad my profile caught your attention!
If you need someone who combines technical skills with business vision for your data projects, let's discuss it.
A graduate of Centrale Lyon and the Technical University of Denmark (DTU), I worked as a Business Analyst at Picnic Technologies where I built automated reporting systems and supported operational teams in their data-driven decisions.
I master the entire analytical chain: data extraction and transformation (SQL, dbt), visualization (Tableau, Python), pipeline automation (Docker, CI/CD), and I have experience in operational optimization and data science.
What I can do for you:
Help you structure your data to make better decisions. Whether it's building a time-saving dashboard, automating time-consuming manual reports, cleaning and exploiting an existing database, or analyzing your data to identify optimization levers, I adapt to your context and technical constraints.
I favor pragmatic and documented solutions, designed to last beyond the mission.
If you're looking for someone who understands both business challenges and technical aspects, we can discuss your project.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 40km), Lyon (up to 10km)
Experience
- PicnicBusiness AnalystRETAIL (LARGE RETAILERS)August 2024 - March 2026 (1 year and 7 months)Paris, FranceDriving customer demand and optimizing business performance through data-driven strategies and end-to-end project management.- Performed in-depth data analysis (SQL, GSheets) to identify commercial opportunities, model costs, and elaborate strategic recommendations, communicating insights to key stakeholders to influence decision-making.- Led the analysis of demographic data to pinpoint high-potential growth areas and determine the optimal location for new distribution centers.- Managed projects comprehensively, from defining objectives to successfully implementing solutions. This included spearheading the launch of Sunday Deliveries after thorough cost modeling and stakeholder alignment.- Established continuous performance tracking by building and maintaining automated reporting solutions. Ensured production readiness of tools through containerization (Docker) and CI/CD pipelines (GitHub).- Automated the daily reporting (using SQL/dbt) of KPIs for a major €1M Marketing campaign, providing real-time performance monitoring via Tableau. Conducted post-campaign impact analysis to generate actionable, data-backed recommendations for maximizing the ROI of future editions.
- RigshospitaletData AnalystMEDICALJanuary 2024 - August 2024 (7 months)Copenhagen, DenmarkOperating room planning and scheduling using data analytics and operations research techniques.- Developed and solved complex Optimization Models (Stochastic Integer Programming) using Gurobi to optimize operating room (OR) scheduling and resource allocation.- Conducted in-depth data exploration and analysis of hospital systems (Sjælland Region) using Python to calibrate the O.R. models effectively.- Built a digital simulation model (AnyLogic) for comparative strategy assessment. This allowed for robust testing and validation of the optimized planning schedules.- The comparative evaluation demonstrated a significant potential for operational efficiency gains, identifying a possible 20% reduction in surgical delays and a 15% decrease in idle time.
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Education
- MSc in Industrial EngineeringTechnical University of Denmark (DTU)2024MSc en Ingénierie Industrielle
- General Engineering DegreeÉcole Centrale de Lyon (ECL)Diplôme d'Ingénieur Généraliste