I am a Back-End Developer (C# and Python) with over 10 years of professional experience, currently serving as a Technical Product Manager in my 9-to-5 job. I have a strong interest in Product Lifecycle and Data Analytics, which I cultivate both during and outside of work hours.
Additionally, I actively develop and maintain open-source data-related applications under my "numbworks" brand. I also engage in regular upskilling sessions through my favorite learning medium: books. Recently, I achieved the significant milestone of studying over 350 technical books.
Detailed information about my tech stack and my continuous learning activity is meticulously kept up to date on my GitHub account, alongside my open-source software releases.
Contact: Email | Facebook | Twitter / X | Github Threads
Intended for other developers who want to integrate my software in their own software.
| Repository | Effort | Quick Links | License | Tests | Download | Last Update |
|---|---|---|---|---|---|---|
| NW.UnivariateForecasting | 208 h | MIT |  |
4.2.0 | 2024-02-15 | |
| NW.NGramTextClassification | 207 h | MIT |  |
4.2.0 | 2024-02-14 | |
| NW.MarkdownTables | 21 h | MIT |  |
3.0.0 | 2024-01-21 | |
| NW.Shared.Files (*) | 5 h | MIT |  |
1.0.0 | 2024-02-11 | |
| NW.Shared.Serialization (*) | 4 h | MIT |  |
1.0.0 | 2024-02-13 | |
| NW.Shared.Validation (*) | 3 h | MIT |  |
1.0.0 | 2024-02-10 |
Intended for data analysts who want to use my libraries thru a command-line interface.
| Repository | Quick Links | License | Tests | Download |
|---|---|---|---|---|
| NW.UnivariateForecastingClient | Documentation | MIT |  |
4.2.0 |
| NW.NGramTextClassificationClient | Documentation | MIT |  |
4.2.0 |
Intended for multiple use cases.
| Repository | Effort | Quick Links | License | Tests | Download | Last Update |
|---|---|---|---|---|---|---|
| nwtimetracking (**) | 226 h | MIT |  |
5.0.2 | 2025-05-26 | |
| nwreadinglist (**) | 159 h | MIT |  |
4.3.2 | 2025-05-26 | |
| nwpackageversions (**) | 56 h | MIT |  |
1.8.2 | 2025-05-26 | |
| nwshared (*)(**) | 47 h | MIT |  |
1.8.2 | 2025-05-26 | |
| nwcommitaverages (**) | 10 h | MIT |  |
1.0.0 | 2025-05-20 | |
| nwdocstringchecking (**) | 5 h | MIT |  |
1.0.0 | 2025-05-19 |
(*) This library encapsulates logic shared by other libraries and may not be immediately useful to a general audience in its current form.
(**) To install this package, you can also run pip install against numbworks.github.io (my own Python Package Index).
| Repository | Type | Quick Links | License | Last Update |
|---|---|---|---|---|
| i3_eink_config | Configuration File | README | MIT | 2020-12-22 |
| Repository | Version | Tech Stack | Effort |
|---|---|---|---|
| nwtraderaanalytics | v4.5.2 | Python | 262 h |
| nwapolloanalytics | v1.0.0 | DuckDb | 192 h |
| nwrefurbishedanalytics | v1.0.0 | Python | 128 h |
| nwknowledgebase | v1.0.0 | Asciidoc | 40 h |
| nwbuild | v1.0.0 | Python | 26 h |
The following table summarizes how many technical books I studied since I started a continuous learning path (2016):
| Years | Books | Pages | TotalSpend | LastUpdate |
|---|---|---|---|---|
| 10 | 352 | 98497 | $10820.15 | 2025-07-14 |
- READINGLIST.md (2025-07-14)
- READINGLISTBYMONTH.md (2025-07-14)
- READINGLISTBYPUBLISHER.md (2025-07-14)
- READINGLISTBYRATING.md (2025-07-14)
- READINGLISTBYTOPIC.md (2025-07-14)
- TIMETRACKINGBYMONTH.md (2025-07-14)
Data, Data Analytics, Data Science, Machine Learning, 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, Product Management, Prompt Engineering, Automated documentation workflows.
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, LLM, RAG, DuckDB, AsciiDoc, Python Packages.
Postgresql, Time-Series Analysis, AWS Architecture, Dotfiles.