Maede Nsi

Illustrated a model for combined bakery services and breakfast products by using RFM and machine learning algorithms to segment users, increasing the conversion rate by 15%. Created a Clustering using Python(KNN ) and SQL to recognize the service’s views and Impressions of every vendor's KPIs. Clustered areas based on users' behavioral data using Python, which changed marketing activities in 5 areas.

Designed the funnel of the customer's journey based on behavior and conversion rate (an average of 62% has successfully submitted). Recognized the pattern of reachable ads and offered suggestions to revise segmentation details. The used KPIs were Bounce Rate, Dark Querie, and Avg Click/View That Dark Queries enhanced by 2%. Revised the categories in the app with unsupervised learning. Find overlaps and migration between categories with clicks’ correlations.

Performed system analysis, documentation, testing, implementation, and user support for platform transitions. Produced monthly PowerBI and Tableau reports using advanced Excel spreadsheet functions. Designed and implementation of an intelligent model for Dutch pharmacies for the purpose of drug distribution. Demonstrated a dedicated interactive Panel for each pharmacy to monitor transactions. Developed database objects, including tables, views, and materialized views using SQL, and PostgreSQL.