Experience:
As a Data Analyst at the Tunisia Tourism branch, I developed automated data extraction and processing pipelines from PDF transport reports to streamline operational workflows. I cleaned and structured datasets to identify activity peaks and optimize vehicle utilization across multiple routes. Using Plotly Express and Matplotlib, I created interactive visualizations to monitor key performance indicators (KPIs) and support strategic decision-making. I also conducted predictive analyses of arrivals to improve excursion and transfer planning based on seasonality. Additionally, I integrated dynamic JavaScript filters into HTML reports for more intuitive data exploration and analyzed vehicle fuel consumption to propose effective cost-reduction strategies.
Education:
I earned my Engineering degree from IT Business School, specializing in data analysis and business intelligence. My studies combined engineering principles with advanced data science, programming, and analytical techniques. I gained practical experience in Python, SQL, and visualization tools such as Plotly and Matplotlib, applying them to solve real-world problems. My academic projects focused on optimizing business processes, forecasting trends, and implementing data-driven solutions, particularly within the tourism and transportation sectors.
Skills:
I possess solid technical and analytical skills, with expertise in Python, SQL, and Excel for data manipulation, automation, and visualization. I am proficient in using tools such as Plotly Express, Matplotlib, and Seaborn to create clear, insightful dashboards and visual reports. My experience also includes integrating interactive JavaScript filters into HTML for enhanced data exploration. Beyond technical skills, I bring strong problem-solving, critical thinking, and project management abilities, complemented by effective communication and teamwork in cross-functional environments. I am fluent in English and French, with a strong ability to adapt quickly to new technologies and business contexts.
Additionally:
I am passionate about data-driven decision-making and continuously seek to expand my knowledge in analytics, automation, and emerging technologies. Outside of my professional work, I actively explore new tools in data visualization and predictive modeling. I am also an avid gamer, with experience in strategy and team-based games such as World of Warcraft and Arc Raiders, which have strengthened my analytical thinking, adaptability, and teamwork skills.
