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Hi, I’m Imen Ameur, a Tunis-based graduate in Business Analytics with practical experience in data analytics, predictive modeling, and Power BI reporting. I enjoy turning complex data into clear, actionable insights and I currently work independently on Power BI projects to deepen technical skills and practical understanding of data visualization and business reporting. My internships have exposed me to analytics challenges in pharma, insurance, and banking, and I excel at translating business needs into tangible dashboards and reports that drive informed decisions. During my master's studies and internships, I’ve built AI-powered solutions (for example, a vehicle-damage detection model for insurance) and collaborated with teams to deliver user-friendly interfaces and real-time analytics. I am fluent in French (Intermediate-Advanced) and comfortable working in cross-cultural environments, with a strong focus on delivering measurable value and clear insights for stakeholders.…Hi, I’m Imen Ameur, a Tunis-based graduate in Business Analytics with practical experience in data analytics, predictive modeling, and Power BI reporting. I enjoy turning complex data into clear, actionable insights and I currently work independently on Power BI projects to deepen technical skills and practical understanding of data visualization and business reporting. My internships have exposed me to analytics challenges in pharma, insurance, and banking, and I excel at translating business needs into tangible dashboards and reports that drive informed decisions. During my master's studies and internships, I’ve built AI-powered solutions (for example, a vehicle-damage detection model for insurance) and collaborated with teams to deliver user-friendly interfaces and real-time analytics. I am fluent in French (Intermediate-Advanced) and comfortable working in cross-cultural environments, with a strong focus on delivering measurable value and clear insights for stakeholders.

Imen Ameur

Data Scientist, Data Visualizer, Data Analyst, +1

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Hi, I’m Imen Ameur, a Tunis-based graduate in Business Analytics with practical experience in data analytics, predictive modeling, and Power BI reporting. I enjoy turning complex data into clear, actionable insights and I currently work independently on Power BI projects to deepen technical skills and practical understanding of data visualization and business reporting. My internships have exposed me to analytics challenges in pharma, insurance, and banking, and I excel at translating business needs into tangible dashboards and reports that drive informed decisions. During my master's studies and internships, I’ve built AI-powered solutions (for example, a vehicle-damage detection model for insurance) and collaborated with teams to deliver user-friendly interfaces and real-time analytics. I am fluent in French (Intermediate-Advanced) and comfortable working in cross-cultural environments, with a strong focus on delivering measurable value and clear insights for stakeholders.…Hi, I’m Imen Ameur, a Tunis-based graduate in Business Analytics with practical experience in data analytics, predictive modeling, and Power BI reporting. I enjoy turning complex data into clear, actionable insights and I currently work independently on Power BI projects to deepen technical skills and practical understanding of data visualization and business reporting. My internships have exposed me to analytics challenges in pharma, insurance, and banking, and I excel at translating business needs into tangible dashboards and reports that drive informed decisions. During my master's studies and internships, I’ve built AI-powered solutions (for example, a vehicle-damage detection model for insurance) and collaborated with teams to deliver user-friendly interfaces and real-time analytics. I am fluent in French (Intermediate-Advanced) and comfortable working in cross-cultural environments, with a strong focus on delivering measurable value and clear insights for stakeholders.

Available to hire

Hi, I’m Imen Ameur, a Tunis-based graduate in Business Analytics with practical experience in data analytics, predictive modeling, and Power BI reporting. I enjoy turning complex data into clear, actionable insights and I currently work independently on Power BI projects to deepen technical skills and practical understanding of data visualization and business reporting. My internships have exposed me to analytics challenges in pharma, insurance, and banking, and I excel at translating business needs into tangible dashboards and reports that drive informed decisions.

During my master’s studies and internships, I’ve built AI-powered solutions (for example, a vehicle-damage detection model for insurance) and collaborated with teams to deliver user-friendly interfaces and real-time analytics. I am fluent in French (Intermediate-Advanced) and comfortable working in cross-cultural environments, with a strong focus on delivering measurable value and clear insights for stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

French

Advanced

Work Experience

Intern, Data Scientist at At-Takafulia Insurance

June 1, 2022 - August 31, 2022

Built an AI-based solution for vehicle damage detection; developed a deep learning model to analyze car images and identify different types of damage; integrated with a web interface for real-time analysis during claim submissions.

Intern, Client Research Project Assistant at HDI Info (Paris)

March 1, 2020 - June 30, 2020

Assisted with a client research project in a business consulting firm, focusing on survey design and data organization. Created survey questions, collected and structured responses, and prepared a summary report in Excel. Supported the team in analyzing client preferences to deliver clear internal insights.

Final-Year Intern, Business Analyst at Kilani Group

March 1, 2025 - July 31, 2025

Designed and built a machine learning project to forecast product-level demand for 2026 in the pharmaceutical sector. Cleaned and prepared historical sales data for ML predictions, created time-series features, and developed a predictive model to support inventory planning. Forecast results were integrated into an interactive Power BI dashboard to provide insights on demand patterns, inventory levels, and product performance for decision-making.