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Simon ChartanSC

Simon Chartan

Data Science / Data Analytics / Data Engineering

€670/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Simon

Looking to transform your data into business performance levers?

For 11 years, I have been helping companies improve their product, margin, growth, and operational efficiency through data (particularly in SaaS, FinTech, and FoodTech).

My skills:
► Data Science: scoring, predictive models (demand, churn, conversion, closing)
► BI & Analytics: KPIs, dashboards, and data governance (SQL, Metabase, Looker)
► Data Engineering: pipelines & architectures (Python, GCP, BigQuery)

Some concrete results:
► FoodTech: multi-site forecasting pipeline (~10k/day) → –10% waste, +4 pts margin, scaling from 1 to 150+ sites.
► HR SaaS: dashboards & predictive models → ARR +80% in 8 months, ARR x3 in 2 years
► FinTech: AI identity verification product (3M operations/year) → –55% audit costs, +40% accuracy, +50% speed

What I offer:
► Implementation / optimization of data pipelines
► Design of predictive models (forecast, scoring, churn, etc.)
► Creation of KPIs/dashboards and structuring of data governance
► Audit & optimization of your existing data processes

My added value:
Teacher of Data Pipelines & GCP at Artefact School of Data → I know how to transmit knowledge, train your teams, and implement sustainable standards.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Artefact School of Data
    Trainer
    July 2024 - Today (2 years and 1 month)
    I regularly intervene during Data Analytics Bootcamps at Artefact School of Data as a trainer on Google Cloud Platform and Data Pipelines.
    Python Data Analytics Google Cloud Platform (GCP)
  • JOG 360 (SaaS FoodTech)
    Lead Data Scientist - Freelance
    July 2023 - Today (3 years and 1 month)
    France
    • Development: forecasting pipeline that tests ~500 variants daily and generates 10,000 item-level forecasts, with continuous recalibration enabling consistent performance and scaling from 1 to 150+ sites.
    • Governance: weekly meetings with clients (Production/Marketing/Sales) to monitor reliability, handle incidents and data quality, prioritize the roadmap, and integrate launches/discontinuations/promotions.
    • Scaling & impact: enhanced product availability, –10% waste, up to +4 margin points.
    Python Google Cloud Platform (GCP) Data science Data Analytics
  • Checkout.com (FinTech)
    Senior Data Analyst
    February 2022 - December 2022 (10 months)
    France
    • AI product optimization (~3M identity verifications/year): Product/Development collaboration, KPI analysis, A/B Tests.
    • –55% performance audit costs and +40% accuracy; +50% processing speed after AI processing pipeline.
    Python SQL Metabase Looker DBT

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Education

  • Data Science Certification
    2023
    Certification Data Science
  • MBA
    IE Business School
    2018

Skill set

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