Yacine Ben Jdidia

- Developed a medallion architecture for IoT production sensors, from API ingestion to data lake and data warehouse, using Python, MongoDB, Airflow, and Docker. - Built real-time dashboards for the RAP solution using PySpark and Kafka. - Designed and implemented a 500 GB data warehouse supporting Fatales reporting across multiple business units. - Developed machine learning models using deduplication and DBSCAN, reducing Nespresso customer name entries from 30K to 20K.

- Utilized the Intune API to retrieve and manage the status of mobile devices within the company (MDM solution). - Designed and developed interactive, real-time dashboards for management, visualizing the live status of all devices. - Conducted historical and trend analysis to train predictive models anticipating performance issues, and created an equation to evaluate device repairability.

- Created databases and set up a pipeline from DB to DW (clients, suppliers, and competitors). - Developed the estimator's API (endpoint between Front-End and Back-End). - Used the ETL process to create the BI Dashboard. - Developed the "LASERSEVEN" application using Oracle Apex and APP Builder. - Audited competitor prices.

- Extracted data on audit missions from African Bank using the web scraping tool Octoparse. - Established a potential customer database from the extracted data. - Cleaned and prepared data for analysis using Power Query. - Participated in setting up Power BI dashboards by defining key performance indicators (KPIs) for the firm’s clients.