Saoud Hamidou

• Built and automated dashboards to monitor commercial performance. • Analysed business results and provided strategic recommendations to optimize sales actions. • Tools: SQL, Excel, Power BI.

• Cleaned and prepared large datasets with data quality checks. • Developed a predictive churn model using machine learning to anticipate cancellations and improve retention. • Built interactive dashboards to support business teams. • Designed recommendation scores to increase usage of the myCANAL app. • Tools : Python, SQL, PySpark, Snowflake, AWS, Dataiku, Git, Power BI.

• Segmented customer base using clustering algorithms to improve marketing campaign targeting. • Created real-time dashboards to monitor key marketing and sales KPIs. • Conducted A/B testing to evaluate campaign effectiveness. • Tools : Python, SQL, Git, Tableau, MariaDB.

• Developed a machine learning model to proactively detect fraud in customs declarations. • Automated KPI calculations and built a real-time monitoring dashboard for strategic decision-making. • Tools : R, SQL, Git, MySQL Server.

● Used web scraping techniques to create and maintain a MongoDB database. ● Used an internal scoring algorithm on textual data used to create a language learning platform