I am a 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 and machine learning with a strong background in mechanical engineering-energy conversion and energy optimization. With a Ph.D., MSc., and a range of project experience, I have led over 7 years of business-focused work addressing complex techno-economic energy optimization challenges.My expertise includes leveraging AI and data science to transform complex data into actionable insights and innovative solutions, blending creative thinking with rigorous engineering principles.𝓚𝓮𝔂 𝓕𝓸𝓬𝓾𝓼 𝓐𝓻𝓮𝓪𝓼:• Developing machine learning and predictive modeling for energy optimization• Driving data-driven design and prototype development• Implementing AI applications in solar thermal technology• Achieving cost reduction and operational efficiency across industries𝒜𝒸𝒽𝒾ℯ𝓋ℯ𝓂ℯ𝓃𝓉𝓈:• Developed a patented solar collector that increased performance and reduced cost by 50%• Successfully applied advanced analytics and AI techniques to drive innovation in renewable energy• Founded Flex Parabolic, focusing on cutting-edge research and development in solar thermal technologyMy ability to integrate related fields, including engineering, data science, and AI, allows me to bring a unique perspective to problem-solving. My goal is to accelerate the transition to a more efficient energy future through groundbreaking technologies and data-driven solutions.Let's connect and explore how we can shape a sustainable future together by harnessing the power of AI and data science in renewable energy and other impactful projects!