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Raphaël R.RR

Raphaël R.

Data Analyst & Scientist | BI | Automation

€130/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Raphaël

Looking for a data expert who is technical, strategic, and results-oriented?

I am Raphaël Rolnik, founder of **Highlights**, a studio specializing in data & AI.
I have worked as a data scientist and analyst in leading organizations, from tech scale-ups like Choco to large insurance groups like AXA and SCOR.

My role: designconcreteandtailor-madesolutions combining data science, automation, and business analysis.

My goal: transform your data into **performance drivers**, with a clear, efficient, and results-oriented approach.

Among what I offer, you will find:

-Strategic dashboards(Power BI, Looker, Tableau)

-Automation scripts&data processing(Python, SQL, API)

-Predictive models(machine learning, scoring, forecasting…)

-AI prototypes(GPT/LLM, internal copilots, RAG assistants)

Are you a startup, an SME, a firm, or an independent with underutilized data? Let's talk! I can assist you with one-off projects or help you structure a sustainable and scalable tool.

My vision:
✅ Business-first approach
✅ Fast and rigorous execution
✅ Analytical and pedagogical mindset
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Fluent

Remote only
Primarily works remotely

Experience

  • AXA
    Data Scientist
    BANKING AND INSURANCE
    March 2024 - September 2024 (6 months)
    Nanterre, France
    • Development of an algorithm to produce a detailed economic analysis (positions + evolutions) for the foreign exchange coverages held by the AXA group (FX forwards, FX collars, CCS).
    • BI data engineering: automation of the calculation of outputs from the consolidated financial result database in DAX/M (Power Query) and reports from the financial asset inventory database.
    • Development and integration of ML models for forecasting financial revenue and detecting anomalies in asset portfolios: forecasting of the Current Yield Rate and Tier 2 capital using supervised models (linear regressions, decision trees); anomaly detection in transaction and consolidation data using unsupervised models (clustering algorithms).
    • Development of a PySpark & SQL tool (large database + structured data) for the roll forward of investment income (adjustment of asset portfolios, consolidation and aggregation of transactions and databases of asset classes).
    Analyse de données Business intelligence Automatisation Data Engineering
  • SCOR SE
    Data Scientist
    BANKING AND INSURANCE
    September 2024 - July 2025 (10 months)
    Paris, France
    • Structuring pipelines for processing reinsurance databases
    • Development and optimization of predictive models for contract pricing (regression, clustering, gradient boosting...)
    • Creation and maintenance of benchmarks and KPIs using visualization tools and workflow automation (Power BI, Python).
    • Sensitivity tests, calibrations, and evaluation of economic assumptions used in reinsurance/MGA/NatCat models
  • Choco
    Data Analyst
    DIGITAL AND IT
    January 2023 - November 2023 (10 months)
    Paris, France
    • Data entry, extraction, visualization, and cleaning, A/B testing
    • Market studies and statistical research that contributed to signing long-term financial contracts with over 45 new partners
    • Reorganization and automation of cost center data, which led to an 8% reduction in uncategorized expenses

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Education

  • Master 2 en Data Science pour la Finance
    Université Paris I Panthéon Sorbonne
    2025
  • Master Informatique et Data Science
    King's College London
    2024

Skill set

Categories