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GuidoBorrelli/README.md

Guido Borrelli

Data Scientist | Analytics & Data Engineer based in Zürich, Switzerland.

LinkedIn Resume

I work across data science, analytics engineering and pragmatic data engineering, building production-ready data products, API-based pipelines and automation around CRM, behavioural, marketing, event and financial data.

My focus is turning fragmented business and customer data into reliable assets for analytics, machine learning, reporting and operational decision-making.

Most of my professional engineering work is in enterprise repositories, so this profile is intentionally a compact public entry point.

What I work on

  • Data products & pipelines: designing scalable data marts, transformations and end-to-end workflows for analytics and business reporting.
  • API & platform integration: pulling, modelling and operationalising data from APIs, CRM systems, marketing platforms, behavioural tracking and event tools.
  • Analytics & machine learning: customer funnel analytics, lead generation, campaign performance, client profiling, A/B testing and predictive modelling.
  • Data quality & automation: improving data quality at source, automating recurring processes and reducing manual operational work.
  • Business collaboration: translating stakeholder questions into robust data solutions used for steering and decision-making.

Core stack

Python · SQL · dbt · Snowflake · Oracle · Airflow · APIs · Data Modelling · Machine Learning · Analytics Engineering

Domains

CRM analytics · Customer funnel analytics · Behavioural data · Marketing analytics · Event analytics · Financial data · Data quality · Automation

More details

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    Comparative implementation and performance analysis of three strongly connected component (SCC) algorithms: Tarjan, Nuutila, and Pearce. Includes correctness testing, benchmarking, and memory analy…

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  2. GuidoBorrelli GuidoBorrelli Public