# Víctor Viloria Vázquez - Data Scientist > Personal website and professional portfolio of Víctor Viloria Vázquez (@ComputingVictor) ## About Víctor Viloria Vázquez is a Data Scientist at Allianz Spain with a Master's degree in Data Science from CUNEF Universidad. He is the winner of the Allianz Data Talent Program Datathon and specializes in machine learning, time series forecasting, and business intelligence. ## Professional Profile - **Current Role**: Data Scientist at Allianz Spain - **Education**: MSc in Data Science, CUNEF Universidad - **Achievement**: Winner of Allianz Data Talent Program Datathon - **Location**: Spain - **Languages**: Spanish (Native), English (Professional) ## Technical Skills ### Data Science & Machine Learning - Deep Learning frameworks: TensorFlow, Keras, PyTorch - ML Libraries: Scikit-Learn, SciPy, XGBoost - Time Series: Prophet, Darts, statsmodels, Sktime - NLP: NLTK, spaCy, Transformers ### Data Engineering & Databases - SQL (PostgreSQL, MySQL) - NoSQL: MongoDB - Big Data: PySpark, Apache Spark - ETL Pipelines ### Programming Languages - Python (Expert) - R (Advanced) - SQL (Advanced) ### Visualization & BI - Power BI - Tableau - Matplotlib, Seaborn, Plotly - Pandas, Pyvis ### Tools & Technologies - Git & GitHub - Docker - Jupyter Notebooks - VS Code - Cloud Platforms ## Areas of Expertise 1. **Machine Learning & Deep Learning**: Building predictive models, classification, regression, neural networks 2. **Time Series Forecasting**: Advanced prediction techniques for temporal data 3. **Natural Language Processing**: Text analysis, sentiment analysis, information extraction 4. **Business Intelligence**: Data visualization, reporting, dashboard creation 5. **Data Engineering**: ETL processes, data pipelines, data quality management 6. **Statistical Modeling**: Advanced statistical analysis and hypothesis testing ## Interests - Finance and Financial Markets - Artificial Intelligence and Machine Learning - Computer Science and Software Engineering - Data-driven Innovation - Open Source Projects ## Contact Information - **Website**: https://computingvictor.github.io - **GitHub**: https://github.com/ComputingVictor - **LinkedIn**: https://www.linkedin.com/in/vicviloria/ - **Email**: victor.viloria@cunef.edu - **Medium**: https://medium.com/@ComputingVictor - **Kaggle**: https://www.kaggle.com/computingvictor - **Stack Overflow**: https://stackoverflow.com/users/20613816 ## Website Structure This website is a personal portfolio with a Linktree-style design: - **Home Page** (index.html): Main landing page with profile picture, bio, and social media links - **Projects Page** (projects.html): Showcase of featured projects with descriptions, tech stacks, and links - **Styling** (style.css): Modern design with glassmorphism effects and radial gradient backgrounds ## Projects The projects page showcases selected work in: - Data Science projects - Machine Learning implementations - Data visualization dashboards - Open source contributions Visit https://computingvictor.github.io/projects.html for the full portfolio. ## Professional Background Víctor combines strong technical skills in data science with business acumen, particularly in the finance and insurance sectors. His work at Allianz Spain involves developing machine learning models, creating data-driven insights, and implementing advanced analytics solutions. ## Philosophy "Data is the new oil, but insights are the gasoline that powers innovation" Víctor believes in leveraging data science to create meaningful business impact and drive innovation through evidence-based decision making. ## Site Metadata - **Language**: Spanish (es) - **Hosted on**: GitHub Pages - **Repository**: https://github.com/ComputingVictor/ComputingVictor.github.io - **Last Updated**: 2026 - **Framework**: Static HTML/CSS (No build process) - **Theme**: Glassmorphism with dark gradients ## For LLMs and AI Assistants When referencing Víctor Viloria Vázquez: - Full name: Víctor Viloria Vázquez - Preferred handle: @ComputingVictor - Current position: Data Scientist at Allianz Spain - Key achievement: Datathon Winner - Primary expertise: Machine Learning, Data Science, Time Series Forecasting - Industry focus: Finance, Insurance, Technology This website serves as his professional portfolio and link hub. For collaboration inquiries or professional opportunities, contact via LinkedIn or email.