Highlights:

Skills:statistics, programming, experimentation, surveys, market research, methodology, quantitative and qualitative research

Data Analyst - Experiments and Insights 06/2022 - 01/2025
eDreams Odigeo, Barcelona, Cataluña Spain
Industry: Travel and Tourism
Analyzed A/B tests and pre-post experiments, evaluated causal inference methods, improved statistical methodologies, and supported research with R/Python. Extracted data via SQL, Google Analytics, created BI tool reports, and collaborated with cross-functional teams in an agile environment.
- Analysis of AB Test experiments (web and app) - Analysis of pre-post experiments using and evaluating the validity of causal inference methods in situations where AB Testing is not an option - Strong implication on the team projects related to statistical procedures, hypothesis testing, AB Testing process, etc - Help the rest of the team with issues regarding the statistics behind AB Testing and other causal inference methods - Evaluate the current methodologies used to obtain the results of AB Tests and pre-post experiments (a lot of research work and R/Python testing) - Report extraction via BI Tool - Work in an agile environment - Participate in interviews with the team manager in order to evaluate the statistical/coding (R/Python and SQL) skills of the candidates - Data extraction using SQL (BigQuery) - Communicate with other teams: Data Science, Business Intelligence, Product teams, SEO, etc--
Intern Data Scientist 02/2021 - 05/2021
IBiDat (Big Data institute), Getafe, Madrid Spain
Industry: Research and Investigation
Conducted Big Data analysis with R, RShiny, and Spark, researched studies, and created reports with insights and visuals.
Participation in Big Data Analysis projects applying R (+RShiny) and Spark (mainly) and research tasks in several projects (scientific articles exploration, citation, comparison of different studies/approaches, etc). Report creation with the conclusions and graphics of the analysis done.--
Data Analyst/Scientist 10/2021 - 06/2022
RIU Hotels and Resorts, Palma, Islas Baleares Spain
Industry: Travel and Tourism
Performed A/B test analysis, causal inference for experiments, and designed statistical methodologies for testing. Created KPI reports and visualizations using Python, R, and DataStudio. Supported data science models (clustering, regression, NLP) and time series forecasting. Extracted data via SQL (BigQuery) and worked in an agile environment with Asana.
- Analysis of AB Tests (web, app, and email) - Analysis of other Experiments using different methods in the area of causal inference (marketing, SEO, SEM, etc) - Designing and supervising the methodologies used in the AB Testing process (mainly regarding the statistical part) - Generating monthly reports about the evolution of web/business KPIs using python and Google Analytics Interface - Support in the data science model creation, including clustering, regression models, classification models, PCA, Recommender Systems, and Natural language processing - Time series forecasting and analysis (seasonality, correlation, autocorrelation, etc) - Visualization of web/business KPIs, using R, Python, Excel, and DataStudio - Data extraction using simple SQL queries (BigQuery) - Work in an agile environment (using Asana as our task manager)--