Tolulope Adesina's Linkedin Analytics

I currently lead data science and MLOps with CRWN.ai for productionizing ML solutions to deliver predictive analytics and maintenance for High Voltage transmission lines. Outside of my work as an AI Solutions Architect and ML Engineer, I am an extremely passionate venture builder with interests working with early stage founders in the deep tech space who are solving problems in healthcare, food security, education, energy, future of work, financial inclusion and transportation for the next billion users. Over the last 10 years, I have worked in various tech startup support capacities, within and outside the university environment, including; as a startup advisor, venture builder and startup program manager. In 2015, I worked with a team in developing the blueprint for a national business plan competition for university students across Nigeria. Furthermore, I have gained experience convening pitching competitions, hackathons and more recently, startup acceleration programs. As a venture builder, I have been involved with business model generation, value proposition design, business idea testing, customer acquisition and MVP development. I have also worked with startups to deliver disruptive innovation to the market through product development, business model generation, business idea testing and validation, talent on-boarding, customer acquisition and startup financing. As a corporate innovation consultant, I led Hactiv8 Labs, a company that offers advisory and innovation outsourcing or co-creation services to corporate organisations and start-ups who are seeking to leveraging the power of Blockchain, Artificial Intelligence and Internet of Things to deliver disruptive innovation across various sectors and industries including, financial services, healthcare, agriculture, energy, waste management, transportation and education. I have also spent eight years teaching wireless communication principles and doing research in next generation wireless networks and IoT. This led me into exploring the role of machine learning, artificial intelligence, and blockchain technologies in heterogeneous wireless networks for M2M/IoT inteeoperabilty.