Über 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.
🗣️ : 🇫🇷 🇬🇧 🇪🇸
Französisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Konversationssicher
Spanisch
Konversationssicher
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- Leboncoin.frData AnalystApril 2025 - Heute (1 Jahr und 2 Monate)• Dashboarding, Performance analytics, C-level reporting, Executive scorecards• Tableau Desktop, Metabase, SQL, Redshift
- RBIData ScientistGASTRONOMIEApril 2024 - April 2025 (1 Jahr)Zug, Schweiz• 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 / AnalystLUXUSGÜTEROktober 2022 - März 2024 (1 Jahr und 5 Monate)Paris, Frankreich• 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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Ausbildung und Abschlüsse
- Data ScientistCentraleSup / OC2023Masters in Data Science
- Masters in ManagementGrenoble Ecole de Management - Grenoble Graduate School of Business2016Marketing