Acerca de Ahmed
Insight-Driven & Business-Oriented Data Scientist
Experienced in extracting and presenting actionable insights to drive business decisions.
Skilled at bridging the gap between technical analysis and strategic outcomes, with a strong track record of delivering impactful presentations to non-technical marketing and sales stakeholders and C-level executives.
Proficient in statistical analysis, predictive modeling, NLP, data visualization, with a focus on solving complex problems and supporting decision-making through data-driven insights.
Currently seeking a new and exciting opportunity to tackle challenging projects and contribute to business growth through data science and analytics.
🗣️ : 🇫🇷 🇬🇧 🇪🇸
Francés
Bilingüe o nativo
Inglés
Bilingüe o nativo
Alemán
Competencia profesional básica
Español
Competencia profesional básica
Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto
Experiencia
- Leboncoin.frData Analystabril de 2025 - Hoy (1 año y 4 meses)• Dashboarding, Performance analytics, C-level reporting, Executive scorecards• Tableau Desktop, Metabase, SQL, Redshift
- RBIData ScientistRESTAURACIÓNabril de 2024 - abril de 2025 (1 año)Zug, Suiza• Architected large-scale data pipelines, processing global customer datasets, reducing data preparation time by 50% through optimized workflows (Python, Polars, Snowflake)• Engineered multilingual NLP models (TensorFlow, Hugging Face) for sentiment analysis and topic modeling, driving a 25% improvement in classification accuracy (from 70% to 88%).• Developed KPI forecasting models (Prophet, Random Forest) to predict sales trends and revisitation rates, enabling data-informed business strategies.• Deployed executive-level dashboards (Streamlit, PowerBI), centralizing real-time performance insights to guide marketing and operational decisions.• Conducted feature importance analysis (SHAP, RandomForest), isolating high-impact drivers and refining marketing strategies through metric clustering techniques.• Implemented scalable model monitoring systems (MLflow), reducing prediction errors by 30% and establishing automated retraining pipelines.• Delivered geospatial insights (Plotly, GeoJSON), building interactive maps to visualize performance trends by region and drive targeted business actions.
- CXGData Scientist / AnalystLUJOoctubre de 2022 - marzo de 2024 (1 año y 5 meses)Paris, Francia• Implemented automated data preparation workflows, halving the time spent cleaning survey responses.• Designed a clustering model (K-means) to segment luxury store visitors based on survey responses, uncovering key behavioral patterns that informed tailored client recommendations.• Analyzed over 10k monthly feedback points using NLP (TF-IDF, NLTK) to pinpoint improvement areas for premium in-store experiences.• Created PowerBI dashboards with dynamic segmentation, enabling teams to isolate underperforming stores and implement targeted training.• Built and deployed machine learning models (XGBoost) to identify key drivers explaining 70% variance in customer satisfaction, enabling actionable insights for luxury retail clients.
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Formación
- Data ScientistCentraleSup / OC2023Masters in Data Science
- Masters in ManagementGrenoble Ecole de Management - Grenoble Graduate School of Business2016Marketing