Freelancer profile translated to English.
Back to original languageAbout Medhi
Data, AI & Performance Consultant | Finance x Tech for Decision Making
I help finance teams structure their data, reduce errors, predict, and automate their analyses (Power BI / SQL / ERP)
With a dual background in finance and data (TBS), I worked at Mars Inc. (BI, automation, closing, ERP), co-founded Bytec, and now support SMEs, scale-ups, and finance departments (e.g., Webdentiste) on topics combining data extraction, accounting reconciliation, dynamic dashboards, and AI copilots.
My Areas of Expertise
- Automation & data flow reliability (Python, SQL, ETL, ERP/API reconciliation)
- Financial analysis & steering (pricing, margins, forecasting, cash, sell-in/sell-out)
- Analytical apps and AI copilots: Power BI dashboards, OCR, RAG, PDF copilots
- Project structuring: scoping, documentation, clear reporting with recommendations
Typical Deliverables
- Ready-to-deploy Power BI / Fabric steering dashboard (+ usage documentation)
- Python/SQL pipeline for ingestion, cleaning, quality control, and extraction
- AI application or RAG tool (PDFs, reports, invoices, internal memos)
- Automated reconciliation tool between ERP / API / payments
- Business summary and report with actionable recommendations (consulting style)
What I Bring
- A rare profile: finance, data, AI – results-oriented
- A rigorous, clear, documented work method
- Ability to speak the business language (CFO, COO) as well as the technical language (data, development)
📍 FR / EN / ES | Availability: immediate for now | Short or long-term assignments | Remote or on-site
📬 Describe your challenges to me: I will propose a clear and structured action plan.
French
Native or bilingual
Portuguese
Conversational
Spanish
Native or bilingual
English
Native or bilingual
Chinese
Basic
Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Lille (up to 50km)
Experience
- PersonaflowFounder - AI for Opportunity & Lead IntelligenceDIGITAL AND ITMarch 2026 - Today (3 months)Development of a system for identifying, qualifying, and prioritizing opportunities (companies / leads), combining OSINT, data, and language models (GenAI).Objective: automate and structure the upstream stages of commercial and analysis processes (sourcing, understanding, qualification).Key functionalities:- Identification of relevant companies and contacts (OSINT)- Contextual analysis (news, business signals, positioning)- Multi-criteria scoring system (fit, timing, risk, potential)- Generation of summaries and personalized messages (outreach)- Pipeline structuring and opportunity prioritizationInitially developed for personal use, with a logic of automating sourcing and qualification.Project developed as part of an AI training program (Google AI Startup Program), with an approach focused on rapid experimentation and integration of advanced models (prompt engineering, LLM).Launch planned: May 2026.
- NDAAI & Data for M&A Deal Flow OptimizationCONSULTING AND AUDITSFebruary 2026 - April 2026 (2 months)Paris, FranceDevelopment of a system to structure and automate the upstream tasks of M&A operations (before Letter of Intent issuance), in collaboration with a private equity lawyer.Objective: improve the sorting, qualification, and prioritization of SME (micro-cap) acquisition opportunities.Key contributions:- Analysis of sale files (teasers, info memos, financial data)- Structuring of qualification grids (strategic fit, understanding, risk, timing)- Development of a scoring system to facilitate go/no-go decisions- Production of decision-making summaries for buyers- Automation of certain deal flow stages (collection, enrichment, pre-analysis)Work grounded in concrete cases, with an approach combining financial analysis, M&A logic, and data structuring.
- WebdentisteData & Finance Consultant – Payment Collection & Analytics Optimization (Sellsy / GoCardless / Spendesk)MEDICALDecember 2025 - December 2025Paris, FranceRole as Data & Finance Consultant for **Webdentiste**, in direct support of the CFO, with a focus on improving the reliability of payment collections and management accounting (Sellsy, GoCardless, Spendesk, Quadracompta).
SEPA Payments – Migration Sellsy → GoCardless
- Full audit of the customer base (approx. 40k lines): verification of bank details, SEPA mandates, duplicates, blocked accounts.
- Implementation of aPython / Gemini AIpipeline onGoogle Cloudto automate migration: identification of active mandates, mapping Sellsy → GoCardless, handling missing or ambiguous cases, and generating a reliable migration file.
Data Reconciliation & Automation
- Design of an identification/reconciliation engine from raw customer lists: filtering special cases, detecting inconsistencies, prioritizing manual reviews.
- Implementation of a prototype tool for automatic mandate cleaning (deduplication, keeping the most recent mandate, separating customers/prospects).
Spendesk & Quadracompta Analytics
- Review of Spendesk's analytical setup (cost centers, tags, expense lines) against the budget framework.
- Update and harmonization of analytical data: creation/deletion/renaming of codes, standardization of labels, alignment with Quadracompta.
- Drafting of a reference document for the analytical plan, including recommendations and best practices for the future.
CFO Collaboration & Steering
- Direct collaboration with theCFOto validate analytical choices and mapping rules, and also with software providers(Sellsy, Gocardless, Spendesk)
- Delivery of a structured summary report: actions taken, risks identified, decisions made, and recommended next steps.
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Education
- Master Programme Grande École - Specialization in Finance & ConsultingTBS Education2024Master Programme Grande École - MiM
- Master of Science in Artificial Intelligence & Business AnalyticsTBS Education2024Master of Science - MSc