Machine Learning Intern
• Awarded for innovation contributor to air quality prediction, significantly enhancing team success.• Explored diverse air quality datasets to build a predictive model with an accuracy score of approximately 70%, providing actionable insights to government bodies.• Delivered key insights and recommendations, including sensor maintenance, multi-pollutant monitoring, and public awareness initiatives. Highlighted future research on advanced algorithms and emerging sensor technologies.• Honored with the Best Project award for exceptional teamwork and impactful contributions.