À propos de Yehouda
Data & Analytics Consultant with 6+ years of experience helping companies transform complex data into actionable business decisions.
I specialize in SQL, Python, Business Intelligence, data modelling and automation, with experience across banking, telecom and e-commerce. I have delivered end-to-end analytics solutions for organizations such as BNP Paribas, Proximus and Amazon, ranging from executive dashboards and reporting automation to data pipelines, KPI frameworks and machine learning use cases.
Beyond technical delivery, I work closely with business stakeholders to understand their challenges, translate them into data solutions and ensure measurable business impact.
Core expertise:
• Data Analysis (SQL, Python, Pandas)
• Business Intelligence & Dashboards (Power BI, Luzmo/Cumul.io)
• Data Modelling & ETL
• Data Quality & Process Automation
• Machine Learning & Predictive Analytics
• KPI Design & Executive Reporting
• Banking, Risk & Regulatory Data
• Telecom Location Analytics
I enjoy working on projects where data drives better decisions, improves operational efficiency and creates tangible value for the business.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- BNP Paribas FortisData & AI Consultantjuin 2025 - Aujourd'hui (1 an et 2 mois)Brussels, Belgium• • Built 10+ automated data-quality and operational controls — validation logic, reconciliation and monitoring — to catch issues before they reached risk and compliance reports, generating efficiency gains equivalent to 3+ FTEs.• • Designed canonical data models and the first 6 Key Risk Indicators for an RCSA cockpit, integrating data across 5+ modules to serve risk, compliance and control consumers.• • Supported compliance, control and internal-audit stakeholders with accurate, documented and auditable data under regulatory constraints and time pressure.• • Embedded traceability, documentation and governance into SQL / SAS / Python workflows to ensure reliability and long-term maintainability.
- ProximusAnalytics Engineer / Data Scientistavril 2023 - août 2025 (2 ans et 4 mois)Brussels, BelgiumLarge-scale telecom & mobility data platform• • Built and maintained 100+ Airflow production pipelines processing billions of daily events, transforming raw data into certified, canonical datasets used as a single source of truth by 15+ downstream consumers.• • Owned the full data lifecycle — ingestion, orchestration, dimensional modelling, validation and client facing delivery — across 50+ analytical products.• • Implemented validation and data-quality logic across pipelines to protect the integrity of certified datasets feeding reporting and analytics.• • Independently led the Hive-to-Cloudera migration of 100+ pipelines under tight deadlines, recovering project delays and converting fragile processes into durable, documented infrastructure.
- JAZZ DigitalData Scientistjuin 2022 - novembre 2022 (5 mois)Paris, France• · Machine learning & automation• • Built a machine-learning scoring engine and automated data collection, dataset creation and onboarding workflows in Python.
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Formations
- Master of EngineeringEFREI2021Master in Big Data and Machine Learning Engineering
- Bachelor of Science in Computer ScienceUNIVERSITE PARIS DAUPHINE2019Bachelor in Computer Science
Certifications
- az-900Microsoft2021