Freelancer profile translated to English.
Back to original languageAbout Mariem
Passionate about data analysis, commercial management, and management control, I help companies fully exploit their potential through data-driven solutions. With a dual role in Data Science and Business Analysis, I bring a hybrid approach that combines analytical rigor, business vision, and mastery of financial stakes.
Whether it's optimizing your commercial performance, automating your analyses, creating dynamic dashboards, or strengthening management control, I put my expertise at your service to meet your specific needs.
My specialties:
- Data Science applied to economics and business
- Creation of predictive models and performance optimization
- Impactful data visualization with Power BI, Tableau, and Excel
- Task automation and advanced reporting
- Management control for better cost and resource management
I am open to enriching collaborations and new challenges.
French
Native or bilingual
English
Conversational
Can work on-site
Sfax (up to 50km), Tunis (up to 10km)
Experience
- International FIVE ConsultingInternFebruary 2024 - May 2024 (3 months)Development of an energy optimization model for buildings: representing 20% of the smartbuilding.eco initiative.- Scraping meteorological data via API.- Analysis and preprocessing with pandas and KNNImputer.- Training classification models with sklearn.- Automation using bash commands.- Creation of interactive dashboards to visualize scraped data and recommendations.Tools used: Python VScode, Tableau, and GitlabMethodology: Agile Scrum
- REC-INOVInternDecember 2024 - January 2025 (1 month)Data Analysis: Integration of Social Data for a Data-Driven Marketing Strategy- Extraction of data from social networks and Google Analytics via API.- Centralization, processing, and creation of 360° dashboards with Power BI.Tools used: Python VScode and Power BI
- Kastelo,InternJuly 2023 - August 2023 (1 month)Development of a commercial objective forecasting model: Improvement of strategic decision-making by approximately 20%.- Data collection via brainstorming.- Optimization and cleaning with numpy and pandas.- Data analysis using graphs (KPI, matplotlib, seaborn).- Revenue forecasting with linear regression and LSTM (sklearn).Tools used: Python
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Education
- Master of Science in Economics and BusinessInstitut des hautes études commerciales de Sfax2024Master Data Science for Business and Economics
- National Bachelor's degree in Management Science, Finance specializationInstitut des hautes études commerciales de Sfax2022Diplôme national de licence en science de gestion spécialité finance