📍 Spain
💼 LinkedIn
📧 carlitoscdl@gmail.com
🐙 GitHub
I am a Data Scientist and Economist with a Master's degree in Social Data Science from the University of Granada (Spain). I specialize in transforming complex social, economic, and behavioral data into actionable insights through machine learning, statistical modeling, natural language processing (NLP), social network analysis, and data visualization.
My work combines quantitative rigor with real-world problem solving. I enjoy building data-driven solutions that help organizations understand people, markets, technologies, and public policies.
I am currently interested in opportunities related to:
- Data Science
- Data Analytics
- Business Intelligence
- Machine Learning
- Computational Social Science
- Social Research & Analytics
- Marketing Analytics
- E-commerce Analytics
- Tourism Analytics
- Sustainability & ESG Analytics
- Urban and Public Services Analytics
- Public Policy Evaluation
- Responsible AI & Data Ethics
I use data to answer questions such as:
- What drives customer satisfaction?
- How do people interact with technology?
- Which factors explain social and economic inequalities?
- How can organizations extract insights from large volumes of text data?
- Can machine learning improve decision-making in business and public policy?
- How do online communities form, interact, and influence each other?
My approach combines:
- Statistical inference
- Predictive modeling
- Machine learning
- Natural language processing
- Social network analysis
- Survey data analysis
- Data storytelling
Analysis of the determinants of digital capital using official microdata from the Spanish National Statistics Institute (INE).
Skills: Logistic Regression, Marginal Effects, Odds Ratios, Survey Data Analysis, Statistical Modeling.
Machine learning models predicting subjective well-being using data from the World Values Survey across multiple countries.
Skills: Random Forest, XGBoost, Cross-Validation, Feature Engineering, Predictive Analytics.
Large-scale analysis of YouTube comments related to immigration during the Brexit referendum campaign.
Skills: NLP, Semantic Embeddings, Toxicity Detection, Political Communication Analysis, Computational Social Science.
Analysis of social media conversations through sentiment analysis and network analytics to identify influential actors, community structures, and patterns of interaction within online discussions.
Skills: Social Network Analysis, Graph Analytics, Community Detection, Sentiment Analysis, Social Media Analytics, Data Visualization.
Analysis of online reviews from TripAdvisor and Civitatis to estimate tourist satisfaction and identify key drivers of visitor experiences.
Skills: NLP, Sentiment Analysis, Web Scraping, Transformer Models, Tourism Analytics.
- Python
- R
- SQL
- Scikit-learn
- XGBoost
- Random Forest
- Logistic Regression
- Statistical Modeling
- Predictive Analytics
- Transformers
- Hugging Face
- BERTopic
- Sentiment Analysis
- Topic Modeling
- Text Mining
- Semantic Embeddings
- Social Network Analysis (SNA)
- Graph Analytics
- Community Detection
- Network Visualization
- Gephi
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Plotly
- ggplot2
- Power BI
- Survey Data Analysis
- Quantitative Social Research
- Policy Evaluation
- Computational Social Science
- Applied Statistics
I am particularly motivated by projects involving:
- Technology and digital transformation
- Consumer behavior and marketing analytics
- E-commerce and customer intelligence
- Social and economic research
- Tourism intelligence
- Sustainability and ESG metrics
- Smart cities and urban services
- Public policy and social innovation
- Responsible AI and data ethics
MSc in Social Data Science
University of Granada, Spain
BSc in Economics Instituto Tecnológico de Santo Domingo, Dominican Republic
I am always interested in collaborating on data-driven projects and exploring opportunities where data can generate measurable impact for organizations, communities, and society.
Feel free to explore my repositories and connect with me.