Freelancer profile translated to English.
Back to original languageAbout Arnau
Turn data into decision systems that generate business impact.
Many companies already have data. The real challenge is to turn it into faster, more accurate, and more profitable decisions.
I design and implement end-to-end solutions that combine: Data Engineering, Machine Learning, Forecasting, Optimization, Business Intelligence, Agentic AI, and Automation, always aligned with real business processes.
Specialties
- Forecasting and time series.
- Machine Learning and Predictive Analytics.
- Mathematical Optimization and Decision Systems.
- Business Intelligence and Executive Dashboards.
- Data Engineering (SQL, ETL, APIs, and Data Warehouses).
- Agentic AI and intelligent automation.
How I work
- 1. I first understand the business problem.
- 2. I design a simple, scalable, and maintainable solution.
- 3. I develop production-ready models and automations.
- 4. I deliver measurable and easy-to-interpret results.
Experience
I have developed solutions for sectors such as banking, e-commerce, retail, and consulting, including credit risk models, demand forecasting, inventory optimization, Business Intelligence platforms, quantitative trading, process automation, and Generative AI-based solutions. My experience ranges from data exploration and architecture to the development, deployment, and automation of production-ready analytical systems.
Catalan
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Can work on-site
Barcelona (up to 50km)
Experience
- SC‑AnalyticsFounder & Data Science ConsultantTECHNovember 2025 - Today (9 months)Barcelona, SpainI founded SC-Analytics with the goal of helping companies turn data into decision systems capable of generating real impact on their operations.I work comprehensively in all project phases, from understanding the business problem and designing the data architecture to developing analytical models, APIs, automations, and putting solutions into production.I have developed projects related to demand forecasting, risk models, financial analytics, mathematical optimization, Business Intelligence, process automation, and integration of solutions based on Generative AI and Agentic AI.Each solution is designed to be scalable, maintainable, and business-oriented, always aiming to reduce manual work, improve decision quality, and facilitate adoption by end-users.Technologies commonly used: Python, SQL, Microsoft Fabric, Power BI, Azure, Databricks, ClickHouse, FastAPI, Docker, GitHub Actions, OpenAI API, Gemini API, and various Machine Learning and Optimization libraries.
- SDG GroupData Scientist ConsultantOctober 2025 - May 2026 (7 months)Barcelona, SpainI participated in corporate planning and KPI monitoring projects for large organizations using Anaplan as their corporate planning platform.My work involved transforming complex business rules into structured models that automated financial and operational planning processes, facilitating decision-making through executive dashboards and indicators.I collaborated with functional teams to understand business needs, model planning processes, and develop solutions aligned with the objectives of different departments.In addition to building models within Anaplan, I participated in designing performance indicators, data validation, and continuous improvement of corporate planning processes.
- Catalana Occidente – Risk Analyst (Insurance & Finance)Risk analyst InternBANKING AND INSURANCESeptember 2024 - September 2025 (1 year)Sant Cugat, SpainI was part of the team responsible for quantitative risk analysis under the Solvency II regulatory framework, contributing to the assessment of extreme scenarios used to validate the solvency of one of Spain's leading insurance companies.I participated in the development and optimization of risk analysis models, automating reporting processes using Python and Excel to significantly reduce manual work and improve operational efficiency.I worked closely with actuarial and financial teams in interpreting results, validating regulatory scenarios, and continuously improving risk analysis processes.This experience allowed me to develop a solid foundation in quantitative modeling, financial analysis, automation, and building decision-oriented tools within a highly regulated environment.
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Education
- American Dual High School DiplomaAcademica2020Bilingual program combining US and Spanish curricula, reinforcing adaptability and international perspective.
- Bachelor's Degree in MathematicsUniversitat Autònoma de Barcelona2025Focus on advanced mathematical modeling, linear algebra, optimization, and probability theory applied to real-world problem solving
Certifications
- Google Data Analytics Professional CertificateGoogle / Coursera2025