Welcome! I'm Aaron, a Data Scientist with a strong software engineering background, currently working in Data Analytics & Consulting at RSM. I focus on solving real-world problems at the intersection of data, systems, and business decisions.
🔍 What I do
- Transform data into actionable insights using Python, SQL, EDA, and Machine Learning.
- Work on data-driven projects in real business environments, bridging analysis with decision-making.
- Build efficient and robust software solutions, backed by a solid foundation in C/C++ and rigorous, project-based engineering training at 42.
- Communicate complex ideas through clean analysis and clear visualizations.
💡 What drives me
I enjoy understanding how systems work under the hood—data pipelines, software, or processes—and making them simpler, sharper, and more useful.
📍 Where I’m based
Barcelona, Spain — working with a global and consulting-oriented mindset.
💬 Let’s connect
Always open to good conversations around data, tech, and building things that actually work.
🌐 LinkedIn
Below is a selection of engineering projects completed during the 42 Common Core, covering low-level programming, systems, networking, concurrency, and software architecture.
| No | Project | Description | Focus Area |
|---|---|---|---|
| 1 | Libft | Custom C standard library | C Foundations |
| 2 | ft_printf | Variadic formatted output | C Foundations |
| 3 | get_next_line | Buffered file reading | C Foundations |
| 4 | Born2beroot | System hardening and virtualization | Systems |
| 5 | minitalk | UNIX signal-based IPC | Systems |
| 6 | so_long | 2D game engine | Graphics |
| 7 | push_swap | Algorithmic sorting constraints | Algorithms |
| 8 | Philosophers | Concurrency problem | Concurrency |
| 9 | minishell | Unix shell | Systems |
| 10 | NetPractice | Network configuration | Networking |
| 11 | cub3D | Raycasting engine | Graphics |
| 12 | CPP_Modules | Object-oriented programming in C++ | C++ |
| 13 | ft_irc | IRC server | Backend / Networking |
| 14 | Inception | Docker-based infrastructure | Systems |
| 15 | ft_transcendence | Full-stack application | Architecture |
This roadmap represents my current engineering and theoretical trajectory, combining advanced 42 projects with deep foundations in mathematics, statistics, machine learning, and systems.
| No | Project | Description | Focus Area |
|---|---|---|---|
| 1 | Mobile (Piscine Mobile / Mobile) | Mobile development modules | Mobile Foundations |
| 2 | ft_hangouts | Mobile messaging application | Mobile Development |
| 3 | Camagru | Secure web application with authentication | Web Backend |
| 4 | Matcha | Web dating platform with micro-framework | Full-Stack Systems |
| 5 | Hypertube | Streaming web platform | Full-Stack Systems |
| 6 | DSLR | Statistical learning project | Statistical Learning |
| 7 | Total Perspective Vortex | Forecasting and prediction system | Time Series |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 8 | SQL Tutorial | Relational querying fundamentals | SQL |
| 9 | Mathematics for Machine Learning | Mathematical foundations for ML | Linear Algebra & Calculus |
| 10 | Algebra & Differential Calculus for Data Science | Optimization-oriented calculus | Optimization |
| 11 | Probability & Statistics | Statistical reasoning | Probability |
| 12 | Statistical Analysis & Hypothesis Testing | Statistical inference | Hypothesis Testing |
| 13 | Stanford Statistics | Applied statistics | Applied Statistics |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 14 | Matrix | Implementation of matrix operations | Linear Algebra |
| 15 | Linear Regression | End-to-end regression model | Linear Models |
| 16 | Linear Regression for Business Statistics | Business-oriented regression | Business Modeling |
| 17 | Erasmus Econometrics | Econometric methods | Causality |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 18 | Piscine Data Science | End-to-end data science workflow | Data Pipelines |
| 19 | EDA with Pandas | Data exploration and cleaning | EDA |
| 20 | EDA for ML | ML-oriented EDA | Feature Engineering |
| 21 | EDA with Seaborn | Visualization-driven EDA | Data Visualization |
| 22 | Time Series (Kaggle) | Time series analysis | Forecasting |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 23 | Machine Learning Introduction | Core ML algorithms | Machine Learning |
| 24 | Algorithms Specialization | Algorithms and complexity | Algorithms |
| 25 | Leaffliction | Supervised ML classification | Supervised Learning |
| 26 | Expert System | Rule-based decision system | Explainable AI |
| 27 | Gomoku | Game AI with heuristics | Search & Decision Making |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 28 | Multi-Layer Perceptron | Neural network implementation | Neural Networks |
| 29 | Deep Learning Specialization | Deep learning systems | Deep Learning |
| 30 | ML in Production | ML deployment | MLOps |
| No | Project | Description | Focus Area |
|---|---|---|---|
| 31 | Darkly | Web security and vulnerabilities | Web Security |
| 32 | Piscine PHP Symfony | Backend development | Backend Architecture |
| 33 | Piscine Python Django | API development | REST APIs |
| 34 | Red Tetris | Multiplayer networked game | Networking |