Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
At Glovo, my role as a Data Scientist has been pivotal in developing a real-time Machine Learning model that has significantly increased monthly revenues and customer engagement. With a foundation in Law and Business Analytics from Universidad Pontificia Comillas and specialized Machine Learning skills from LSE, I've been instrumental in exploiting Data resources to align with strategic business goals.
- Leading the Data Science Growth team - Leveraging Machine Learning models to boost growth and revenue - Setting the ground for AB testing culture
- Developed and led an Uplift (X-learner) real-time Machine Learning model, with API development, for key markets. Brought incremental €200k in monthly revenues by improving visibility of promotions in the customer App. - Developed, productionalized and led Churn Prevention’s pre-computed Machine Learning model for company’s subscription plan, impacting 20 countries through CRM and Product, resulting in +16% relative retention and + €100k monthly revenue. This project had direct exposure to CMO.
- Built two Data Products, inside the Data Mesh architecture, making ML predictions available to other teams. - Analyzed data of all global users' interactions in the app to identify areas of concern for businesses. Then, suggested strategies to the business department to boost adoption by around 35% and increase engagement among users subscribed to the plan by offering incentives to order from various categories. - Led definition of objectives key results (OKRs) along with Business and Product stakeholders, due to lack of Manager, by accomplishing successful semester’s OKR. - Assisted the Lead Data Scientist by developing key components of the project, contributing to model refinement and feature engineering, which streamlined processes and enhanced model accuracy for deployment.
- Designed and analyzed several A/B tests which implied aligning global pricing strategy, optimization of adoption incentives via Product and CRM, as well as implementing new touchpoints in Product. - Explored along with Product team and CMO different solutions, implying customer behavior and revenue optimization analysis, to bring incremental activity from company’s subscription plan while improving economics by 5%. - Enriched stakeholder management with Business, Product, Finance, CRM, and local teams as the primary analytical point of contact from the Prime global team, ensuring visibility of Prime data across the company.
- Unified database with the use of Python automations with the aim of standardizing data within the company. - Assisted Head of Marketing in daily analysis and supported him in weekly meetings with the broad company.