MSc Business Analytics portfolio showcasing projects in predictive modelling, consumer behaviour, product performance, ESG analytics, AI governance, Natural Language Processing (NLP), and data-driven and data-informed business strategy.
🎓 I’m currently completing my MSc in Business Analytics at Trinity College Dublin (thesis remaining), after graduating with a Bachelor’s degree in Economics from IE University in Spain, with an exchange semester at Constructor University in Bremen, Germany. Throughout my studies, I’ve explored how analytics can be applied to solve business and strategic problems across industries ranging from banking and retail to ESG, AI governance, sustainability, and media.
📊 My recent projects have focused on predictive modelling, consumer behaviour, NLP, econometrics, ESG analytics, AI systems, and product performance, using tools such as Python, R, SQL, Tableau, and machine learning frameworks to turn datasets into scalable insights. I’m particularly interested in how data is applied across industries, and in the role strong data architecture and governance play in enabling scalable analytics and better decision-making.
🌍 Having studied and worked in international and multicultural environments, I enjoy collaborative and fast-moving projects that combine analytical thinking with creativity and problem-solving. Alongside my academic work, I’ve also independently explored business and consumer datasets to deepen my understanding of customer behaviour, engagement patterns, and strategic product insights. My peers would describe me as curious, proactive, adaptable, and always eager to learn something new from messy datasets and unfamiliar industries.
🎾 Outside of analytics, I love travelling and spending time outdoors, trying cuisines from different cultures, discovering new sports, and spending time with animals, especially dogs.
🤝 Feel free to reach out to me through my LinkedIn Profile or by Email, I’m always happy to connect, discuss analytics projects, or explore new job opportunities.
Main skills:
- Excel: SPSS, Solver, SUMIFS, Pivot Tables, VLOOKUP
- Python: Pandas, NumPy, statsmodels, re, str, NLTK, spaCy, scikit-learn, sentence-transformers, matplotlib
- R: dplyr, tidyr, ggplot2, stringr, tm, NLP, Topicmodels, Text2Vec
- SQL: joins, aggregations, relational databases, exploratory data analysis
- Stata: Econometric and Statistical Modelling, Regression Analysis, Causal Inference, Panel Data Analysis, Hypothesis Testing
- Tableau: Interactive Dashboards, Filters, Heatmaps, Calculated Fields, KPI Visualisations
Additional skills:
- Replit: HTML Interactive Dashboards
- Easy Project (Easy Redmine): Agile Workflows, Scrum / Kanban Boards, Gantt Planning, Task Management, KPI Tracking, Resource Allocation
- Adaptability
- Analytical Problem Solving
- Cross-Functional Collaboration
- Curiosity & Continuous Learning
- Data Storytelling
- Stakeholder Communication
- Research & Insight Generation
- Strategic Thinking
- Music and Mental Health
- Bank Marketing Campaign
- Customer Churn Prediction (class imbalance)
- Customer Purchase Behaviour
- AI Governance and Nudging System
- NLP Reviews and Analysis
- AI Data Strategy Implementation
- ESG Analysis (Ratings vs. Societal Impact)
- Sales and Customer Engagement
- Customer Churn Analysis (predictions and causality)
- BA.BS Dissertation Electric Vehicles
- MSc Dissertation Food Waste
Datasets were pre-structured / simulated for academic purposes; repository focuses on analytical framework, methodology, and business insights. The data used in Projects 11 and 12 is instead publicly available.