Freelancer profile translated to English.

Description

Business Analyst / AMOA with a hybrid background: Industrial Engineering degree + double Master's (MAE + International Management).

I combine technical vision and business understanding to scope, specify, and deliver your digital transformation projects.

Concrete experience:

20+ projects delivered at Smart by Design for institutional clients
(ANCT, POLD, local authorities)
Machine Learning models deployed in aeronautical supply chain: +80% accuracy vs. Excel forecasts
Management of a private e-commerce business since late 2024
Bilingual FR/EN — comfortable with international projects

What I do for you:

Requirements gathering and scoping, user stories with acceptance criteria
Functional specifications, business rules, use cases
Functional testing and UAT, change management
Power BI dashboards, SQL analysis, no-code automations (Make, n8n)
Integration of generative AI (Claude, GPT) into your business processes

Available for one-off (audit, scoping) or long-term assignments.

Remote or hybrid.

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Nice (up to 50km), Annecy (up to 50km), Lyon (up to 50km), Paris (up to 50km)

Smart by Design
Business Analyst / AMOA Consultant — Public Sector Digital Transformation
CONSULTING AND AUDITS
September 2023 - September 2024 (1 year)
Paris, France
Digital transformation consulting firm for the public sector.
Assignments with ANCT and POLD to support local authorities (municipalities, inter-municipal structures) in their digitalization.
20+ projects delivered using an agile approach:
Gathering requirements from local authorities and reformulating them into user stories with acceptance criteria
Writing functional specifications: business rules, use cases, structured deliverables
Liaising with solution providers: analyzing functionalities, customization options, and technical constraints
Functional testing and UAT: verifying solution/requirements alignment, documenting results
MoSCoW prioritization and functional backlog management
Co-facilitating requirements gathering workshops with stakeholders
Benchmarking open-source solutions: multi-criteria comparative analysis (features, costs, technical compatibility)
Agile coordination with progressive deliverable validation, 1-3-6 month action plans, and identification of available funding
Monthly monitoring of performance KPIs for local e-commerce sites (POLD mission)
Environment: Trello, Nextcloud (DMS), XMind, Google Workspace, agile methodologies.
AMOA / Business Analysis Functional specifications Writing user stories Functional testing Agile methodology
BitVibe Gaming
Business Analyst — E-commerce Business
E-COMMERCE
December 2024 - Today (1 year and 6 months)
Annecy, France
Creation and management of a specialized e-commerce business.
Business Analysis aspect:
Market research and competitive analysis: positioning, offering gaps, niche opportunities
Margin assessment, acquisition cost estimation, and operational risk identification
Structuring the end-to-end process: sourcing, quality control, pricing, shipping, customer service
Definition and monitoring of KPIs: net margin, sales cycle time, return rate, logistics cost, ROI per category
Variance analysis vs. objectives and corrective action plans
Customer issue management: root cause analysis, corrective actions, and preventive measures
Skills used: functional analysis, process structuring, performance monitoring, data-driven decision-making.
E-commerce strategy Data analysis No-code automation Commercial strategy Project management
Heliconia Aero Solutions
Supply Chain Data Analyst — Internship
AVIATION AND AEROSPACE
February 2022 - June 2022 (4 months)
End-of-studies internship in a complex aeronautical supply chain environment. Mission: replace manual Excel forecasts with Machine Learning models for spare parts demand forecasting.
Key achievements:
Collection, cleaning, and structuring of logistics data to create usable datasets (ETL to Power BI)
Deployment of Machine Learning-based demand forecasting models: +80% accuracy vs. historical Excel forecasts
Presentation of results to operational teams to support inventory management decisions
Creation of Power BI dashboards for monitoring supply chain performance indicators
Technical environment: Power BI, Advanced Excel, supervised Machine Learning models.
Machine learning Microsoft Power BI Data analysis Supply chain