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remichenouri/README.md

Hi, I'm Rémi Chenouri 👋

Commercial Excellence Data Analyst · Healthcare & MedTech

📍 Paris, France  ·  🌏 Open to relocation — Southeast Asia & International


About me

I work at the intersection of healthcare commercial analytics and data engineering — designing and maintaining automated reporting systems for a home healthcare provider (PSAD) covering 6 regions across France.

My edge is a combination that's rarely found in one profile: deep familiarity with French national health datasets (Open LPP, RPPS, FINESS, CCAM, PMSI), hands-on data pipeline engineering (Python, Power Query ETL, VBA automation), and direct experience turning that into commercial performance dashboards used by sales teams and C-level management.

  • 🏥 Current role — Data Analyst – Performance Commerciale @ Asten Santé · Building and owning the full automated reporting ecosystem across respiratory & nutrition product lines
  • 🎓 Education — Data Analyst diploma · Mines de Paris · Validated AI/ML competency block (RNCP)
  • 🔬 Research interest — Healthcare market intelligence using open public data: prescriber analysis, market share modelling, regional epidemiology
  • 🌏 Target — Healthcare data / BI / commercial excellence roles in Southeast Asia

Featured projects

🏥 Healthcare & public health data

Project What it does Stack Live
Observatoire TDAH 🇫🇷 National epidemiological analysis of ADHD in France using public health data — prescriptions, regional disparities, demographic trends Python · Streamlit · Plotly → App
Depression Screening PHQ-9 score prediction with interactive clinician dashboard — portfolio ML demo Python · Streamlit · scikit-learn → App
Autism Screening DSM-5-based classifier with SHAP explainability — portfolio demo Random Forest · SHAP · Streamlit → App
ADHD Screening Adult screening model with LIME/SHAP transparency — portfolio demo Random Forest · Streamlit → App

The screening apps are portfolio demonstrations built on public datasets — not clinical-grade diagnostic tools.

📊 Workforce & HR analytics

Project What it does Stack Live
Neuroscreen Workplace Neurodiversity inclusion toolkit for HR teams — screening, manager dashboard, accommodation library Python · Streamlit · scikit-learn → App
Gaming Workforce Observatory Salary & talent benchmarking across the gaming industry — web-scraped dataset, Altair charts Python · Altair · pandas → App
HR Analytics — Gaming Industry Workforce planning & diversity KPIs — portfolio case study, not affiliated with any company SQL · Python · Power BI → App

Tech stack

Core analytics

Python SQL pandas Power Query

Visualisation & reporting

Streamlit Plotly Power BI Looker Studio

Machine learning & explainability

scikit-learn SHAP LIME

Healthcare data sources I work with

Open LPP  Open Medic  CCAM  PMSI MCO/HAD  RPPS  FINESS  Cartographie pathologies CNAM  Medic'AM


What I'm building next

🔭 French healthcare open data analytics — A public repository exploring market intelligence using national reimbursement data: prescriber mapping (RPPS × Open LPP), regional market share modelling, and product-level trend analysis. Target completion: Q3 2026.


GitHub stats

Rémi's GitHub stats


Contact

📧 chenouri.remi@proton.me  ·  🔗 LinkedIn


Bridging healthcare commercial analytics and data engineering — with a focus on measurable business impact and medical intelligence.

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  1. neuroscreen-workplace neuroscreen-workplace Public

    Enterprise HR toolkit for neurodiversity inclusion - ADHD, autism, DCD screening with manager dashboard and accommodation library. Portfolio demo.

    Python 1

  2. observatoire-tdah-france observatoire-tdah-france Public

    Epidemiological analysis of ADHD in France using national health data (2018–2024) - prescriptions, regional disparities, demographic trends. Streamlit dashboard.

    Jupyter Notebook 1

  3. autism-screening-ml autism-screening-ml Public

    DSM-5-based autism screening classifier with SHAP explainability (Random Forest) - portfolio demo built on public dataset.

    Python 1

  4. adhd-screening-adults adhd-screening-adults Public

    Adult ADHD screening tool using ASRS v1.1 criteria - Random Forest classifier with LIME and SHAP explainability. Portfolio demo built on public dataset.

    Python 1

  5. insurance-claims-analytics insurance-claims-analytics Public

    Predictive analytics for non-life insurance (IARD) claims - ML classification, anomaly detection and KPI dashboards using Python and MySQL.

    1