Data Scientist specialized in forecasting, price elasticity, and mathematical optimization, with hands-on experience building and maintaining scalable, production-grade analytics pipelines. Strong focus on statistical rigor, model governance, and integration with enterprise systems to support reliable, data-driven decision-making.
- Languages - Python, Java, C, JavaScript, TypeScript
- Data Engineering - Data ingestion and versioning, Parquet-based storage, modular pipelines, large-scale processing
- Libraries & Frameworks - Pandas, NumPy, Statsmodels, Prophet, Scikit-learn, SciPy
- Tools & Platforms - AWS S3, Databricks, Git, Power BI, Jupyter Notebook, JupyterLab
- Languages - English (Intermediate), Spanish (Intermediate), Japanese (Basic)
Currently deepening my knowledge of statistical modeling and linear regression, while improving practical skills in Python data manipulation (NumPy, Pandas) and MongoDB administration, with a focus on production-oriented data systems.



