As a current PG Diploma candidate at SunBeam Institute specializing in Big Data Analytics, I lead a project at Harnessing Machine Learning to develop predictive models for air quality. This role draws on my core competencies in data visualization, SQL, and my educational background in Mechanical Engineering from Mauli Group of Institution's College of Engineering & Technology.With a focus on environmental impact, our team leverages advanced machine learning techniques to forecast AQI levels, contributing to public health initiatives. My work with the Low Temperature Evaporator project reflects a commitment to sustainability and innovation in water resource management. We are determined to bring diverse perspectives and collaborative solutions that align with our organization's dedication to ecological and community welfare.