Description

Business Analytics professional specializing in reporting, dashboards, and data automation, helping companies transform data into actionable insights.

🎯 What I offer:

Development of interactive dashboards (Power BI, Tableau, Salesforce)

Automated reporting and KPI monitoring

Data analysis and Python-based modeling (forecasting, recommendations, classification)

Database management and optimization

With experience at Deloitte Luxembourg and academic projects in predictive modeling, recommendation systems, and machine learning, I bring both technical expertise and a business-oriented mindset.

Languages

Arabic
Native or bilingual
French
Native or bilingual
English
Fluent
Spanish
Conversational

Workplace preferences

Remote only

Primarily works remotely

UCLouvain FUCaM Mons
ANALYSIS OF OPPORTUNITIES AND CHALLENGES OF A SOLIDARITY INSURANCE
September 2023 - June 2024 (9 months)
Belgium
• Assess the potential impact of solidarity insurance on the market, focusing on individuals and nonprofit organizations
• Qualitative approach through interviews with key stakeholders, followed by an empirical and quantitative study to test hypotheses based on a survey
• Identification of financial and social opportunities of solidarity insurance, as well as challenges related to communication and long-term financial viability
Python R studio
Arendt & Medernach
TRAINEE AS BUSINESS ANALYST
February 2024 - May 2024 (3 months)
Kirchberg, SN, Germany
• Implemented Robotic Process Automation (RPA) for the client Fund Channel, a subsidiary of the Amundi group
• Analyzed operational team needs to identify processes for automation
• Automated and tested a key process to enhance operational efficiency
• Monitored the process through the UiPath orchestrator
• Conducted regular presentations for stakeholder and management updates
• Collaborated with teams to ensure successful project implementation
GHDC / UCLouvain FUCaM Mons
STUDENT CONSULTANT IN PLANNING OPTIMISATION
February 2023 - May 2023 (3 months)
Belgium
• Developed a model-based optimization for the creation of the surgical ward schedule
• Provided a decision aid by measuring costs and benefits and analyzing detailed alternatives
• Generated results that included key performance indicators (KPIs) for thorough analysis of alternatives