Mejri Borhen

I’m a final-year Business Intelligence student at Esprit School of Business, and I’m currently completing a data analytics internship at CASCO Automotive Tunisia (Amphenol Group). I design analytics solutions that turn industrial data into clear decisions through dashboards, pipelines, and practical machine learning.

During my internship, I built a full multidimensional data analytics system covering 100,000+ rows of industrial scrap, maintenance, and HSE data. I developed interactive Power BI dashboards with DAX measures, KPI cards, slicers, and drill-through for production and quality analytics.

I also designed and executed ETL pipelines using SSIS to unify 5 years of maintenance data (2021–2025) into a clean SQL Server data warehouse. On top of reporting, I applied Prophet forecasting, Random Forest classification, and Isolation Forest anomaly detection using Python and scikit-learn, and I built a full-stack Django web application to manage data and embed Power BI dashboards.

To handle messy real-world text, I performed text mining and NLP on HSE incident reports using regex and fuzzy clustering to normalize 844 unique defect categories. I’m now seeking a remote junior data analyst or BI developer role where I can deliver immediate value.