Garcia Anelbis

Observational Study of an Automatic Detection of Patients at Risk of Chronic Postoperative Pain.

•Developed an algorithm (combination of risk factors) with which the specificity of the alert was improved.

•Provided methodological, statistical and data computerisation support to the research team.

•Statistical modelling and SAS programming in accordance with the protocol, applicable regulations and GCP requirements.

•Responsible and accountable for the statistical support on the official medical publications and conferences.

Supported the Precision Agriculture project by simulating crop growth and yield in response to weather, crop, management, and soil inputs.

•Lead a Data aggregation project to gather company and digital data from multiple sources and express it in an insightful format for businesses reporting and statistical analysis.

•Defined data strategy - including metrics, data pipelines, and working cadence with cross functional teams.

•100k € process improvement savings and avoided purchasing costs.

•Collaborated with [Products managers, IT, Executive team, External agencies] to build an automated business report with multiple metrics to serve as the source of evaluation of strategies.

Built an econometrics model to predict probability of converting offers into sales. The analysis attempted to predict the probability based on micro and macroeconomic variables using statistical techniques like correlation analysis and stepwise multiple regression analysis.

•Collected, structured, and analysed the internal and external data required for Pricing Analytics.