About

Engineering across software, data and operational systems.

I started from Management Engineering, moved into backend and data consulting, and am now finishing an MSc in Data Science & Engineering while working in RevOps at papernest.

That path is why I am more interested in the full system than in a model in isolation: the data that feeds it, the API around it, the workflow state, the interface, the evaluation and the person who has to operate it afterwards.

Portrait of Alessandro Casadei
Barcelona / Turin / Aosta — working across engineering, data and automation.

Experience

What I have worked on.

Jul 2026 — Present

Business Analysis & Data Science Intern — RevOps

papernest · Barcelona, Spain

Work across RevOps, data, AI and automation, with an emphasis on operational systems rather than isolated analyses.

  • Build and improve recurring data and operational workflows used by RevOps teams.
  • Prototype AI-assisted internal tools and automation where they remove repetitive work or improve decision support.
  • Work with CRM/process tooling, APIs and data analysis across cross-functional operational problems.

Python · SQL · APIs · HubSpot · Make

Sep 2025 — Jul 2026

ICT Consultant · Data Engineering

T.I. Telematica Informatica — client work with Accenture / Intesa Sanpaolo · Remote / Italy

Designed Python/SQL pipelines for cleaning, reconciliation, KPI generation, forecasting and repeatable validation on structured datasets.

  • Built data-processing and reconciliation pipelines around structured operational datasets.
  • Implemented regression-based forecasting and validation checks with reproducibility in mind.
  • Worked inside a consulting delivery environment where outputs had to be understandable and operationally usable.

Python · SQL · Data pipelines · Forecasting

Mar 2025 — Sep 2025

ICT Consultant · Software Engineering

T.I. Telematica Informatica — client: Gruppo Centro Paghe · Turin, Italy

Developed Node.js services, REST APIs and workflow automation, including an internal RAG assistant for document querying.

  • Built backend services and APIs for workflow automation and dashboard use cases.
  • Implemented a retrieval-augmented assistant using embeddings and FAISS for internal documents.
  • Connected software components around actual business workflows rather than treating the model as a standalone demo.

Node.js · REST APIs · RAG · FAISS · Embeddings

Education

Useful foundation, not the headline.

2024 — 2027

MSc Data Science and Engineering

Politecnico di Torino

Machine learning, deep learning, distributed architectures, databases, data engineering, optimization and NLP.

2021 — 2025

BSc Management Engineering

Politecnico di Torino

Engineering, statistics, econometrics, operations research and software foundations. Thesis work included portfolio optimization in Python.

Toolbox

Grouped by what I use it for.

The projects are the evidence. This is only the index.

Build systems

Python · FastAPI · TypeScript · React / Next.js · REST APIs · PostgreSQL · Redis · Docker

Model & evaluate

scikit-learn · PyTorch · CatBoost · Transformers · PEFT / LoRA · W&B · ML evaluation

Data & automation

SQL · pandas · data pipelines · workflow automation · HubSpot · Make · CRM operations

Working languages

Italian — native · English — C1 · French — C1 · Spanish — learning

Recruiter path

Open to AI / ML / Data / Automation engineering opportunities from 2027.