About

Serious analytical work for companies that value substance over appearance.

I build decision systems for businesses that need more control, better allocation of resources and stronger analytical foundations. My approach combines mathematical rigor, technical depth and a clear commitment to creating real business value.

Background

Arnau Sastre

Analytical Consultant · Decision Systems, Forecasting & Optimization

I am an analytical consultant specializing in decision systems, forecasting, optimization and machine learning for businesses. My work sits at the intersection of applied mathematics, data science and business strategy — building systems that improve the quality of decisions at the operational and strategic level.

My approach is classical in the best sense: rigorous in method, honest in communication, and oriented entirely toward creating genuine business value. I do not believe in noise, inflated promises or fashionable jargon used without substance. I believe in building systems that are technically sound, useful in practice and aligned with business reality.

I work with companies across retail, logistics, financial services and healthcare — sectors where analytical precision translates directly into competitive advantage, cost reduction and risk management.

Core values

Trust

Honest communication and clear reasoning are central to every engagement.

Commitment

Serious work requires discipline, reliability and follow-through on every detail.

Rigor

Sound models, strong logic and analytical precision matter more than appearances.

Helpfulness

The purpose of the work is to genuinely help clients make better decisions.

How I work

A classical view of professional work.

My work is guided by a classical view of professionalism: seriousness, honesty, clarity and responsibility. This means understanding the problem properly, modeling it with rigor, explaining it clearly and delivering work that improves real decisions rather than producing superficial outputs.

I prioritize depth over breadth. A well-specified model built with deep understanding of the underlying process will consistently outperform a general-purpose system applied without that understanding.

Skills & Tools

Technical foundation.

Core Languages

PythonSQLR

Machine Learning & Statistics

scikit-learnXGBoostLightGBMstatsmodelsProphetPyTorch

Optimization

PuLPOR-ToolsSciPy optimizeCVXPYGurobi

Data Engineering

PandasNumPydbtApache AirflowPostgreSQL

Visualization & BI

PlotlyMatplotlibPower BIStreamlit

Background

Academic & professional experience.

Quantitative foundation

Strong academic background in statistics, mathematics and computational methods, applied to real business problems.

Industry experience

Project experience across retail, logistics, financial services and healthcare — sectors where analytical precision has direct operational impact.

End-to-end delivery

Experienced in the full analytical lifecycle: problem definition, data engineering, modeling, validation, deployment and knowledge transfer.

Focus

Technical work with strategic purpose.

Decision Systems

Systems that improve clarity, control and business performance.

Explainability

Models should support decisions that can be understood and trusted.

Efficiency

Better use of time, capital and operational resources through analytical design.

Long-Term Value

The objective is durable business improvement, not short-lived technical novelty.

Work together

The right analytical system can change the quality of every important decision.

If you need a serious analytical partner for forecasting, optimization, automation or advanced modeling, let's discuss the business problem clearly and structurally.