Asma Taba

Started by supporting the EMEA Client Management domain for five months, then transitioned to a global role, expanding reporting frameworks and tailoring dashboards to meet the needs of diverse regions and leadership teams. Monitored and analyzed Key Performance Indicators (KPIs) to ensure alignment with organizational goals. Automated routine processes globally, including Python scripts for data tracking, scheduled emails, and workflow optimization. Extracted and transformed data from Salesforce and Qlik Sense to create accurate, up-to-date reports using Power BI. Delivered dynamic, user-friendly reports for global leadership, highlighting performance trends and actionable opportunities for improvement.

I developed a fraud detection model using a blend of different algorithms, from deep learning to more traditional machine learning approaches. The result is an accurate and efficient model designed to detect all sorts of fraudulent activities effectively, providing a powerful tool for combating fraudulent activities.

We were a part of developing a sentimental analysis model using NLP.

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