Sami Trabelsi

Unilever is a multinational consumer goods company that produces various goods, As a Data Analyst at Unilever, I: o Collaborated on data-driven selling projects at Unilever, leveraging Power BI dashboards, Microsoft Excel and Alteryx Designer for data collection, cleaning, transformation and analysis. o Supported business process optimization and database management while presenting insights to the team. o Image Classification: Developed a machine learning model for automating classification with Python using CNN, while using TensorFlow for hyperparameter tuning.

- Develop skills in statistical analysis, data modeling, and visualization using tools like Excel, Tableau, and Power BI, along with programming languages such as Python, R, and SQL. - Gain practical experience by working on live projects and handling responsibilities such as data collection, cleaning, exploratory analysis, model building, and data visualization. - Enhance European project management abilities and contribute by preparing reports for meetings, analyzing events, and drafting policy papers. - Present your work to the team, receive feedback, and showcase the skills and knowledge gained during the internship.

-Analyzing data using statistical techniques and providing reports. -Developing and implementing databases and data collection systems. -Identifying, analyzing, and interpreting trends or patterns in complex data sets.

-Provided Prompt customer support with a professional attitude through emails. -Tracked and resolved issues guiding users through step by step solutions -Met and exceeded daily productivity goal

-Helped set up and maintain files/records. -Updated the Database.

-Helped manage both inward and outward stock movement. -Helped ensure all stock records are kept up-to-date.