Focused on econometrics, algorithm design, high-performance software systems and many more.
- Quantitative modeling & econometrics (regression, threshold models, statistical inference)
- Algorithm design & optimization under constraints
- High-performance systems programming (C/C++, concurrency, Linux)
- Data engineering & backend systems
Credit Risk Modeling (Python) Applied machine learning to credit risk modeling by predicting loan defaults from historical lending data and comparing logistic regression and XGBoost performance.
Threshold Regression Model (R) Panel threshold analysis of housing price effects on consumption in Spain. Focus on regime-dependent relationships and nonlinear effects in macroeconomic data.
Ford-Johnson Sorting Algorithm (C++) Implementation of Merge-Insertion sort with emphasis on comparison minimization and algorithmic efficiency.
Push_swap (C) Sorting under strict operation constraints; optimized move sequences and stack manipulation strategies.
Minishell (C) Unix-like shell with parsing, process execution, piping, and signal handling.
Philosophers (C) Concurrency simulation using threads, mutexes, and deadlock avoidance strategies.
Cub3D (C++) Raycasting engine with texture mapping and real-time rendering pipeline.
Ft_transcendence (Next.js) Real-time multiplayer poker platform with backend + frontend integration.
Python · SQL · PostgreSQL · R · C · C++ · Docker · Linux · Bash · Next.js · Julia
