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Mariana Costa Checa is a distinguished Peruvian social entrepreneur, best known as the Co-founder and CEO of Laboratoria. Laboratoria is a groundbreaking social enterprise that empowers young women from low-income backgrounds across Latin America by equipping them with in-demand tech skills and connecting them with quality employment opportunities in the digital sector. Launched in 2014, Laboratoria has transformed the lives of thousands of women and has significantly contributed to bridging the gender gap in technology in the region. Mariana is a passionate advocate for diversity in tech, inclusive economic growth, and leveraging technology for social good. Her innovative approach and impactful work have garnered international recognition.
Mariana Costa's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Recognized by the BBC as one of the 100 most influential and inspiring women globally in 2016 for her impactful work with Laboratoria.
Named by MIT Technology Review (Global edition) as one of the leading innovators under 35 in 2015 for her pioneering efforts in social innovation through technology education.
Listed in Fortune Magazine's 'World's 50 Greatest Leaders' in 2016, highlighting her transformative leadership in creating opportunities for women in tech.
Her work with Laboratoria was notably praised by former U.S. President Barack Obama during the 2016 Global Entrepreneurship Summit and by Meta CEO Mark Zuckerberg, signifying its global impact.
Selected as an Ashoka Fellow, joining a global network of leading social entrepreneurs who are creating innovative solutions to society's most pressing problems.
IE Business School - Year 2018
Nova School of Business and Economics - Year 2010
Nova School of Business and Economics - Year 2007
Corvinus University of Budapest - Year 2009
Colégio Manuel Bernardes - Year 1999
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Splight is an AI-powered platform designed for energy companies to optimize asset management, improve grid reliability, and accelerate the transition to renewable energy. Their solutions leverage data analytics and machine learning to provide predictive maintenance insights, enhance operational efficiency, and support data-driven decision-making for utilities and power generation companies. The platform aims to reduce operational costs, minimize downtime, and extend the lifespan of critical infrastructure in the energy sector.
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