The Speakers

With a background in Electrotechnical Engineering, I've spent the last 7 years in data science, with 5 of those focused on search and NLP in e-commerce and classifieds. This past year, I've been exploring the fascinating world of AI agents. Nothing boosts my motivation quite like sharing knowledge and tackling real user problems.  

You won't find me very active on social media—there's a good chance my phone is currently hiding in the fridge (it happens!). I find joy in vintage technology, so your best bet is to drop me an email and I'll get back to you! 

Sushmita Gogoi is a seasoned product leader with over 12 years of experience building and scaling AI-driven consumer and enterprise solutions that impact millions of users worldwide. Passionate about helping people through technology, she focuses on creating meaningful, data-informed products that users truly love. 

At Mastercard, Sushmita drives AI initiatives that power critical business outcomes—such as optimizing CNP authorization across products—ensuring AI is not just a feature, but a strategic enabler of Mastercard’s ecosystem. She works closely with AI governance and ethics teams to align innovation with measurable impact, balancing scalability, responsibility, and customer trust. 

Sushmita thrives at the intersection of technology, data, and human insight, leading diverse teams to transform ideas into tangible business value. Beyond product delivery, she mentors women in technology through programs like #IamSTEM, Women in Technology, and ADPList, empowering the next generation of innovators. 

Outside of work, she recharges through hiking, mentoring, and sharing stories via her food vlog. 

Sara Guerreiro de Sousa is a Product Lead for Gen-OS at DareData, the Enterprise AI Operating System that helps organizations deploy, monitor, and improve Gen-AI solutions at scale—connecting automated work with human intelligence while maintaining control, visibility, and compliance. Sara shapes Gen-OS from idea to delivery, adoption, and success, working in close collaboration with AI, engineering, and implementation teams. 

Previously, Sara spent 2.5 years at Unbabel as Innovation & AI Product Manager. She led the deployment of Cultural Transcreation—Unbabel's first Generative AI-driven application—into production. As AI Product Manager, Sara led product development from hypothesis to production, establishing frameworks for rapid experimentation, validation, and risk-aware releases that enabled the team to ship multiple AI features with speed and confidence. As part of the managing team at the Center for Responsible AI, Sara helped build an ecosystem that brings together startups, research centers, and industry leaders around responsible AI product development and innovation. 

Before Unbabel, Sara worked at Feedzai and other organizations across both non-profit and for-profit sectors, accumulating 8+ years of experience in data science, innovation, and responsible product development. 

Sara holds a Bachelor's in Applied Mathematics from Instituto Superior Técnico and a Master's in Finance from Nova School of Business and Economics, with additional certifications in Product Management, Data Science, and Humane Technology

Beatriz Mano holds a BSc in Computer Science and Engineering from Técnico Lisboa and a MSc in Machine Learning and Data Mining from Aalto University. A passion for the healthcare field led her to start her career in Finland, working in the biotech field, where she confirmed her drive to apply machine learning to real-world, human-centered problems. She has worked across both research and product development, designing AI solutions, and bringing them to life in user-facing products. 

Sara Michetti is a data scientist at SIXT, focused for the past two years on fleet optimization while also connecting her interest to the full ecosystem of vehicles distribution, pricing and liquidation. Sara took part of 2024 Women in Data Science with a talk on gender diversity. Before joining Sixt, she began her career in the Netherlands, working for a sports company where she built dashboards and developed tools for retailers. Later, she worked as a data scientist in Portugal for a second-hand marketplace, managing recommendation systems, image quality model evaluation and causal inference

Emanuela Piciucco is a data scientist at Sixt, where she specializes in price automation and strategic fleet planning. With a PhD in Applied Electronics, Emanuela has a deep understanding of pattern recognition, computer vision, time series analysis, and statistics. She has applied this knowledge to a wide range of real-world problems, particularly in the field of biometric recognition, where she has worked on user authentication with noisy data. Emanuela is a passionate advocate for data-driven decision making, and she is always looking for new and innovative ways to apply data science to business challenges. In her free time, she enjoys pursuing her hobbies of photography, hiking, and scuba diving.