Pierre Desire Nyafeu Kamdem
Data Scientist @Webeet.Io
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WORK HISTORY
Data Scientist @Webeet.Io
Berlin, DE
Audited the full Berlin data schema for missing, null, and hidden missing values (e.g.\'unknown\',\'None\', invalid zeros), distinguishing natural absence from structural data quality issues and documenting refactoring needs per column. Defined persona-level neighborhood metrics (feature contracts) by translating business needs into measurable spatial indicators, documenting aggregation logic, units, assumptions, and edge cases for Data Engineering integration. Built proof-of-concept notebooks implementing metric aggregation, normalization, and weighted scoring at district level, combining SQL extraction with Pandas/GeoPandas to validate ranking logic before production rollout.
EDUCATION
Sapienza Università di Roma
Bachelor's degree, International Economics
Masterschool
Data Analytics: Data Science Track Training Program
ABOUT PIERRE DESIRE NYAFEU KAMDEM
Data Scientist with a strong background in international economics and practical experience from a 14-month Masterschool program. Skilled in Python (pandas, scikit-learn, time series, computer vision), SQL, Tableau, and Excel. Seeking a Junior Data Scientist or Machine Learning role to build and deploy data-driven solutions.
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