Mario Lanao

Senior Data Scientist @Tinder

NY, US

Product Analytics - Led analytics efforts within the Trust & Safety team, focusing on the enhancement of verification systems utilizing facial mapping and ID-based identification, device authentication, and data anonymization techniques to ensure user safety and security- Focused on A|B testing and product rolloutsData Engineering- Implemented various data rollup processes to streamline data organization, covering critical areas such as user moderation, user deletions, and user cohort movements, resulting in improved efficiency and scalability of Trust & Safety operations- Revamped the logic for the company\'s top-line metric, user bans, leading to more accurate tracking and providing valuable insights into ecosystem health and user behavior- Developed and documented a comprehensive set of analytics specifications, outlining precise data logging requirements and data infrastructure specifications for various projects at Tinder. This included projects such as a new moderation review tool, a prevalence sampling tool, a list service tracking company block lists, and a photo verification challenge, ensuring data integrity and quality for critical Trust & Safety initiatives.Data Strategy- Led data strategy for capturing necessary data for aforementioned projects, collaborating closely with cross-functional teams to define data collection methodologies and implement robust data pipelines, enabling efficient data-driven decision-making processes within the Trust & Safety domain.Managing / Mentoring - Mentored Data Scientists at levels 1 & 2 across multiple teams including Revenue, Growth, and Profile, fostering a culture of knowledge sharing and professional development within the organization.ERG- Actively participated in the Latinx Employee Resource Group (ERG) at Tinder, contributing to the organization of events for Latin Heritage Month and being recognized as a top Latin employee, promoting diversity and inclusion initiatives within the company.