Freelancer profile translated to English.
Back to original languageAbout Saoussen
Looking for a freelancer capable of transforming your data into concrete decisions and measurable results? I assist companies with Data Science, Machine Learning, Data Analysis, and Business Intelligence missions, from understanding business needs to deploying directly usable solutions.
Holder of a Master's degree in Finance & Data Science (ISIFAR – Université Paris Diderot) as well as a professional title of level 7 (Master's degree) in Machine Learning Engineer, awarded by Mines Paris – PSL in partnership with DataScientest, I design data solutions tailored to business challenges.
I am involved in the entire project lifecycle: data collection, preparation, and validation, feature engineering, development of Machine Learning models (regression, classification, Random Forest, XGBoost), performance evaluation, statistical analyses, and creation of interactive dashboards.
I have worked on projects involving sales forecasting, scoring, customer segmentation, socio-demographic analyses, KPI monitoring, and decision support, with a constant objective: to provide reliable analyses and high-value-added recommendations.
My skills cover Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, Power BI, Tableau, Git, Docker (basics), and APIs. I develop reproducible analysis pipelines, clear dashboards, and robust models, paying particular attention to data quality and solution performance.
Rigorous, autonomous, and results-oriented, I integrate quickly into your teams and adapt to your technical and business constraints. Available for missions in France, remotely, or on-site in Paris.
English
Fluent
French
Native or bilingual
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- ConexCap Finance ParisData Scientist InternBANKING AND INSURANCEJuly 2019 - December 2019 (5 months)LuxembourgDesign and maintenance of data pipelines (ETL, collection, cleaning, quality control). Development of tools for monitoring data quality and KPI tracking. Predictive modeling and scoring (logistic regression, XGBoost) using Python and R. Socio-demographic and BI analyses for performance management through KPIs. Creation of performance dashboards and strategic reporting.
Recommendations
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Machine Learning EngineerParis Mines PSL2024Cette formation m'a permis d'acquérir des compétences techniques avancées en Machine Learning et en Intelligence Artificielle, couvrant plusieurs aspects clés : Fondamentaux de la Data Science : Manipulation de données avec Python (Pandas, Numpy) Visualisation de données (Matplotlib, Seaborn) Statistiques appliquées et probabilités Machine Learning : Algorithmes supervisés (régression, classification) Algorithmes non supervisés (clustering, réduction de dimensionnalité) Méthodes d'évaluation et validation croisée Deep Learning : Réseaux de neurones profonds avec TensorFlow et Keras Réseaux convolutifs (CNN) et récurrents (RNN) Optimisation des hyperparamètres et tuning de modèles MLOps : Industrialisation des modèles de Machine Learning Déploiement et surveillance de modèles (CI/CD) Conteneurisation avec Docker, orchestration avec Kubernetes Gestion de projets IA : Méthodologies agiles et gestion de projets data Mise en production des modèles ML dans des environnements complexes Cas pratiques : Projets concrets autour de la prédiction, classification, et traitement du langage naturel (NLP) Collaboration en équipe avec Git et gestion des versions Cette formation m'a préparé à des environnements réels en combinant théorie et pratique pour maîtriser les outils et techniques nécessaires en Machine Learning et MLOps.
Certifications
- Machine Learning Engineerdatascientest , Paris Mines PSL2024