Arnau S.

I help companies improve business decisions through Data Science, forecasting, optimization and AI systems. Whether the challenge is unreliable forecasts, fragmented reporting, manual workflows or complex operational decisions, I start by understanding the business, its data and its constraints. WHAT I CAN HELP WITH • Forecasting & Planning — demand, sales, inventory and multi-horizon forecasting • Optimization & Operations Research — replenishment, allocation, routing, scheduling and capacity planning • Simulation & What-If Analysis — compare operational choices, constraints and trade-offs before implementation • Machine Learning & Statistics — predictive modelling, credit risk, churn, segmentation and explainability • Business Intelligence — Power BI dashboards, executive reporting, KPIs and decision-support tools • AI Systems & Automation — agents, LLM applications, business copilots, API integrations and workflows with appropriate human controls • Data Engineering — SQL and Python pipelines, ETL/ELT, validation and reliable analytical datasets • Financial & Quantitative Modelling — scenario models, risk analytics and planning systems • Custom Data/AI Applications — connect models, workflows and user interfaces into practical business tools RELEVANT EXPERIENCE My work includes multi-horizon demand forecasting for e-commerce, applied credit-risk modelling, automated metrics and reporting, Solvency II analytics, and Anaplan planning and reporting. My background in Mathematics and Applied Statistics helps me connect quantitative rigour with business requirements. I also lead SC-Analytics, a small technical team across Data Science, AI/Software Engineering and Data Engineering. I remain personally hands-on and can bring additional delivery capacity when the scope requires it. Portfolio examples distinguish client-informed work, internal systems and controlled public implementations. Public materials use anonymized, synthetic or representative data where appropriate. HOW I WORK • Understand the decision, process and constraints • Assess the available data and its quality • Agree on scope and success criteria • Build the simplest valid solution • Validate results and business logic • Integrate the solution into the actual workflow Core tools include Python, SQL, Power BI, Anaplan, statistical and machine-learning libraries, APIs and modern LLM systems. LET'S DISCUSS YOUR CASE I offer a free, no-obligation 30-minute introductory call through Upwork to understand your business problem, assess fit and discuss a sensible next step. Message me here with your goal, current process and main constraint.