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I'm a Technical Product Manager with strong software development roots (C# and Python) and a passionate love affair with data pipelines, which I do nurture every day.

In my daily job I do manage five teams, lead the product strategy of the company, enforce Agile and other best practices (clean architecture, unit test coverage > 70%, updated documentation as part of the definition-of-done, code readibility as a priority, ...), ensure quarterly deliveries despite the limited development capacity. In addition, I do back-end development work when required. Few of the many technologies I do work with every week: C#, Python, Jupyter Notebook, Pandas, PowerBi, ETL, databases, REST APIs, AWS.

In my off-work time I do actively develop and maintain some open-source software packages (C# and Python) under my numbworks brand. Last but not least, to improve my craft, I studied 276 technical books in the past nine years.

A software developer profile is defined by the software he develops and by the continuous learning activities he performs. This is my portfolio and you'll find information about both aspects of my off-work journey as a back-end developer.

Contact: Email | Twitter

Intended for other developers who want to integrate my software in their own software.

Repository	Effort	Quick Links	License	Tests	NuGet	Last Update
NW.UnivariateForecasting	208 h	README CHANGELOG Documentation Issues	MIT		4.2.0	2024-02-15
NW.NGramTextClassification	207 h	README CHANGELOG Documentation Issues	MIT		4.2.0	2024-02-14
NW.MarkdownTables	21 h	README CHANGELOG Documentation Issues	MIT		3.0.0	2024-01-21

Intended for data analysts who want to use my libraries thru a command-line interface.

Repository	Quick Links	License	Tests	Binaries
NW.UnivariateForecastingClient	Documentation	MIT		4.2.0
NW.NGramTextClassificationClient	Documentation	MIT		4.2.0

Pieces of logic shared among my libraries. These might not be feature-rich enough to be useful for the general audience.

Repository	Effort	Quick Links	License	Tests	NuGet	Last Update
NW.Shared.Files	5 h	README CHANGELOG Documentation Issues	MIT		1.0.0	2024-02-11
NW.Shared.Serialization	4 h	README CHANGELOG Documentation Issues	MIT		1.0.0	2024-02-13
NW.Shared.Validation	3 h	README CHANGELOG Documentation Issues	MIT		1.0.0	2024-02-10

Intended to showcase my approach to solve specific data analysis problems:

Repository	Effort	Quick Links	License	Tests	Version	Last Update
nwreadinglist	95 h	README CHANGELOG Documentation Issues	MIT		3.3.0	2024-05-21
nwtimetracking	73 h	README CHANGELOG Documentation Issues	MIT		3.3.0	2024-05-21

Pieces of logic shared among my libraries. These might not be feature-rich enough to be useful for the general audience.

Repository	Effort	Quick Links	License	Tests	Version	Last Update
nwshared	9 h	README CHANGELOG Documentation Issues	MIT		1.1.0	2024-05-20

• CONTRIBUTIONGUIDEFORCSHARP.md
• FRAMEWORKFREEZE.md

The following table summarizes how many technical books I studied since I started a continuous learning path (2016):

• READINGLISTBYMONTH.md
• READINGLISTBYPUBLISHER.md
• READINGLISTBYRATING.md
• READINGLISTBYTOPIC.md
• READINGLISTTOPICTREND.md
• READINGLIST.md

Data, Databases, Development, Software Usability, Clean Software Architecture, Clean Code, Design Patterns, (Parametric) Unit Testing, OOP, Dependency Injection, Single Responsability Principle, Console Applications, Services, CLIs,CI/CD, (Web) Scraping, REST APIs, Business Analysis, ETL Process, Star Schema, Data Warehouses, Prompt Engineering.

C#, NET Core, NET Standard, NUNit,SQL Server, PowerBi, TeamCity, Azure DevOps, Excel, VBA, Powershell, Ubuntu Server, Docker, MariaDB, NuGet Packages, SQLite, Proxmox VE, Jupyter Notebooks, Python 3.x, Pandas, ollama.

Python Packages, Data Science, Machine Learning, Postgresql, Time-Series Analysis, Sensor Data, AWS Architecture.