Freelance missions

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in our data environment, many aspects of the technical scope and financial impact are confidential therefore the descriptions below are limited
- thank you for your understanding

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STRAPI, 2024 - 18 months, part-time

​comprehensive data audit, DWH creation (Airflow, AWS), product and operations success metrics dashboard setup (Metabase), data team creation 

• impact: churn prevention, feature adoption measured

 

HELLOASSO, 2024 - 9 months, part-time

interim data analyst & engineer for operational excellence (workshops, impact assessment, ETL enhancement, dashboards creation) (Synapse, Tableau)

• impact: customer journey understanding, efficient communication strategy and impact assessment of external events on finances

 

SIPAREX GROUP, 2023 - 7 days over 3 weeks​​​

information system audit and AI project feasibility study​ (Power BI)

• impact: more adequate strategy at group level for information system developments, resource and cost saving

 

BETTER BUSINESS, 2023 - 10 days over 3 months

1-1 mentorship with the Data Team Lead: advised on roadmap, KPIs ; led workshops with stakeholders on impact measurement and product development

• ​impact: effective integration of the data science developments with the business strategy and product development​

 

LIVEMENTOR, 2021 - 14 months, part-time

creation of the data team and processes, analysis roadmap, and support for critical operations (planning creation and optimisation)

• impact: improve the data-driven maturity of the product and operational teams, reduce operational fails and offer better visibility on bottlenecks

 

ALL MY HOMES, 2021 - 20 days over 6 months​​

1-1 mentorship with the employed Data Scientist: advise on the development, implementation and operational integration of a lead-scoring engine ​

• impact: x11 conversion on leads selected by the algorithm

 

SNOWPLOW ANALYTICS, 2021 - 8 months

customer journey analysis and data-driven strategy for the marketing team (process mining with Disco / data science clustering and trees for persona with python) ; write technical documentation on how to create efficient data models ;

 

ZALANDO, 2019 - 15 months

implementation of the information systems of a new business un​it (Airflow, Databricks, Pyspark), including supply scoring and parcel tracking and notification systems (process mining with Celonis) ​

 

SMUNCH​​, 2019 - 8 hours over 1 week

audit of "slow" business intelligence systems, implementation of quick-wins​

• impact: hours of running ETLs saved​

 

DUPROPRIO, 2018 - 40 days over 9 months

• 2018 - 3 weeks : development of a complete business data model with dbt

• 2019 - 20 days over 9 month : mentorship on data science product development

  • impact: got a ready-to-query DWH, high-impact data products in production