I’ve worked on 20+ Data Science projects, helping the organisations I collaborated with to better understand their data, generate actionable insights, and build dashboards to monitor and improve their operations. Below is an overview of some of these projects.
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No private or sensitive data, only general information of my work.
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Python ∙ SQL ∙ Pytesseract ∙ OpenCV ⎹ Lead to +€50,000 annual recovery potential.
Python ∙ Statistic tests ⎹ Delivered 20 strategic actions to increase conversion, ensure compliance and optimise the digital insurance journey.
Python ∙ Geopandas ∙ Clustering Models ⎹ Identified 4 optimal agency locations for tele-consultation booths, improving healthcare access in underserved areas.
Python ∙ Missing Data Imputation ∙ Bivariate Analysis ∙ Statistic tests ⎹ Invalidated assumptions about policyholders’ income, enabling sharper targeting and smarter strategic decisions.
Python ∙ Neural Network ∙ Probabilist Models ⎹ Proved synthetic data’s reliability and changed internal standards for handling sensitive healthcare data in consumption studies.
Python ∙ NetworkX ∙ TimeSeries ⎹ Enhanced a commercial tool by integrating real-time HR data, consolidating KPIs at group level and initiated a predictive module.
Python ∙ OpenCV ∙ CNN ⎹ Improved identifier recognition Recall to 65%, enabling automation of cases previously handled manually.
Python ∙ Geopandas ∙ Time Travel Estimation ∙ ArcGIS ⎹ Consolidated four agencies and closed two, leading to significant operational cost savings.
Python ∙ Geopandas ∙ Time Travel Estimation ∙ ArcGIS ⎹ Identified a low-impact synergie, leading to a strategic no-go decision.
© Hugo PERIER 2025