Robin S.
Consultant, Data Science & Engineering
Experience
Senior Consultant Data & AI
EMPA Data & Management Consulting GmbH
Full-stack Data & AI Consultant experienced in bridging business and engineering for multibillion-dollar enterprises. He specialises in designing and delivering large-scale data products, cloud-native pipelines, and advanced analytics solutions. Holding a B.Sc. in Business Analytics, he operates at the intersection of data engineering, AI, and business strategy. Robin is a structured, collaborative, and results-driven professional who has led data warehousing, reporting, and data strategy initiatives across manufacturing, telecommunications, and professional services.
Consultant, Data Science & Engineering
valantic Digital Finance GmbH
- Bridged business and engineering for enterprise finance clients, designing data products and cloud pipelines in Python, SQL Server, SAP Datasphere, and Tagetik.
- Conceived, built, and containerised a Python/FastAPI universal connector that syncs SAP S/4HANA and other SQL/NoSQL sources to Tagetik, deployed on Google Cloud Run and Microsoft Azure, reducing a 90-minute data load to approximately 80 seconds; now packaged as a licensable add-on for multiple clients.
- Architected a medallion-layer SQL Server warehouse ingesting approximately 500 GB/day from 11 ERP instances, automated daily refreshes (full load under 6 minutes), and freed 20–30 finance staff from days of manual data consolidation.
- Led cross-functional workshops and designed enterprise EPM target architecture for CAPEX, OPEX, and revenue planning at a leading Southeast-Asian telecom, translating requirements into data-model specifications and integration blueprints for the client’s implementation team.
Research Assistant, Department of Data Analytics
Maastricht University
- Modelled a supermarket as a graph network and coded a probabilistic Python simulator that generated over 50 000 privacy-safe shopping journeys to advance fraud-detection research.
- Prototyped LSTM-based fraud-detection models on the synthetic data, raising the fraud-prediction F1 score from 0.7 to 0.89 compared to baseline methods.
Data Consultant
Freelance
- Built a web-based Dash app that provided a €2 M architecture firm with its first-ever reporting capability, surfacing cash-flow, margin, and vendor-spend KPIs in minutes instead of manual Excel lookups.
- Coded a Python scraper to collect and anonymise approximately 50 000 product records from four e-commerce sites, delivering clean datasets now powering a university course on predictive-pricing models.
Summary
Cross-functional problem-solver who owns the full data lifecycle from scoping the business question to deploying dashboards, predictive models, and automated pipelines. Fluent in Python, SQL, and cloud-native APIs, I stitch together analytics, AI, and engineering so clients walk away with answers, not just code. I thrive where challenges are open-ended, stakeholders are diverse, and success is measured in real-world outcomes.
Recent impact: architected and shipped a medallion-layer data warehouse across 11 subsidiaries (10 k + employees), wiping out manual spreadsheet consolidation and releasing finance teams for higher-value analysis.
Languages
Education
Maastricht University
BSc Business Analytics · Business Analytics · Maastricht, Netherlands · 1.0 / 8.5
Goethe University Frankfurt
BA Sport Sciences · Sport Sciences · Frankfurt, Germany · 1.3 / 8.0
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