Skill set (4)
Ruben in a few words
With 5 years of product management experience in the edtech and hospitality industries, I have mastered cross-functional collaboration with Business, Engineering, Design, and Data teams. Additionally, I bring 2 years of expertise in Data Science and Machine Learning Engineering. My focus has primarily been on B2C products, particularly in mobile applications and web platforms. Personalization has been a key aspect of my work, both as a Product Manager and Machine Learning Engineer. I have trained ML models for customized recommendations and implemented personalized user journeys to enhance user experiences. Throughout my career, I have successfully worked on both 0 to 1 product development and optimizing existing products. I excel in fostering effective communication and coordination among diverse teams, leveraging their expertise to drive exceptional results.
Experience
- Soho House & CoProduct Manager - Digital PersonalisationJune 2022 - Today (2 years and 8 months)London, UKLeading the Member Experience across our digital platforms (app and web). Leveraging AI for personalised experiences: encompassing seamless booking journeys and advanced social features, aiming to redefine the discovery journey for our esteemed members.• Championing a cohesive and differentiated product strategy that aligns with the membership needs and overall company objectives, with a strong emphasis on personalisation. Representing the squad and product area to executives, actively advocating for the utmost value and pertinence of data driven products and machine learning endeavours• Successfully launched a highly acclaimed social feature on the app, embraced by a user base of over 100k, resulting in a remarkable threefold increase in engagement and retention metrics• Leading the comprehensive rollout of the social feature, orchestrating seamless collaboration with stakeholders across the organisation to ensure its widespread adoption across all houses• Spearheading the implementation of multiple advanced machine learning recommender systems in close partnership with the data team, demonstrating strong collaboration with cross-functional teams. This strategic initiative has led to a remarkable 15% increase in average conversion rates across all applications• Currently pioneering the 0-1 launch of an in-app ordering product for the houses, driving significant enhancements such as increased average check value, reduced operational costs, and an elevated member experience through streamlined accessibility and reduced wait times• Providing invaluable mentorship and guidance to Product Owners, ensuring flawless execution and maintaining an unwavering commitment to exceptional quality
- BlinkistData Scientist - Machine Learning RecSysJanuary 2021 - June 2022 (1 year and 5 months)Berlin, GermanyBlinkist is the quick-hit nonfiction learning app on a mission to help people turn ordinary moments into extraordinary learning opportunities—anytime, anywhere.• Build and test machine learning models for a variety of production use cases• Conduct A/B test on app features and suggest new product features• Research , implement and improve state of the art recommendation algorithms to advance Blinkist's content discovery experience (For You section)• Collect large structured datasets from different sources & define attributes of interest• Clean and validate data to ensure accuracy, completeness, and consistency of analyses and models• Analyze data to identify patterns and trends using descriptive statistics• Detect trends, correlations, and patterns from analyses of specific data to improve business performance
- FotspårFounder and Impact CatalystNovember 2019 - January 2022 (2 years and 2 months)Stockholm, SwedenSupporting humanitarian causes through sustainable fashion.• Establishing partnerships with both Sustainable Fashion Brands and NGOs• Raising and leading an international community of volunteers.• Orchestrating digital marketing strategies (+2k Instagram followers on launch, +40 volunteers from 12 nationalities)• Running day to day operations (product definition, ways of working, managing the website and social media, and recruiting)
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Education
- Master's Dual Degree in Autonomous Systems , Computer ScienceTechnische Universität BerlinMaster's Dual Degree in Autonomous Systems , Computer Science
- Master's Dual Degree in Autonomous Systems , Computer ScienceKungliga tekniska högskolanMaster's Dual Degree in Autonomous Systems , Computer Science
- Bachelor of Science in Industrial EngineeringUniversitat Politècnica de CatalunyaBachelor's Degree, Industrial Engineering
- High School Diploma, Scientific TrackLycée Français de BarceloneHigh School Diploma, Scientific Track