Freelancer profile translated to English.
Back to original languageAbout Saly
Graduated engineer from ISEP Paris in Business Intelligence & Data, I have acquired 3 years of experience in data during my apprenticeship at Orange France, where I worked on machine learning projects (classification, prediction, modeling).
I now support companies in analyzing their data and creating interactive dashboards to better manage their business.
Skills: Python · SQL · Power BI · Scikit-learn · Streamlit · Excel
Recent projects:
• Social Media Performance Dashboard — Python, SQL, Streamlit
• Telecom Churn Predictor — Machine Learning, AUC 0.833
French
Native or bilingual
English
Fluent
Chinese
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- AJCFActive Member — VolunteeringCIVIC AND SOCIAL ORGANIZATIONSAugust 2021 - Today (4 years and 11 months)Paris, FranceActive participation in the organization of associative eventsCoordination with volunteer teamsContribution to the life of the association.Photography and logistics
- Orange FranceData Engineer - ApprenticeshipTELECOMMUNICATIONSJanuary 2021 - January 2024 (3 years)Paris, FranceAnalysis of data for telecommunications servicesManagement and resolution of incident tickets in a Linux environment Development of a prediction model for operations incidents (Machine Learning Creation of a model from a sample of error messages (training, testing, accuracy)
- ISEPA — Association étudiante ISEPVice PresidentCIVIC AND SOCIAL ORGANIZATIONSJuly 2022 - June 2023 (11 months)Paris, FranceAssociation ManagementEvent OrganizationCoordination of the Buddy Program (Support for international students)
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Education
- Engineer: Data SpecializationInstitut Supérieur d'électronique de Paris (ISEP)2024Cycle ingénieur en 3 ans en alternance. Spécialisation en Business Intelligence, Data Science et Machine Learning. Apprentissage chez Orange France en parallèle.
- International Integrated preparatory classInstitut Supérieur d'électronique de Paris (ISEP)2021Cycle intégré international de 2 ans, formation scientifique et mathématiques approfondies, enseignements en anglais. Nombreux projets pratiques en équipe : robotique, algorithmique, développement d'applications.