Proactive and goal-oriented professional recognized for exceptional time management and problem-solving skills. Reliability and adaptability drive quick learning and application of new competencies, fostering team success. A commitment to leveraging these strengths aims to enhance organizational growth and efficiency.
Ambient air quality prediction system, The Ambient Air Quality Prediction System leverages machine learning models to forecast air quality levels, helping monitor pollutants and ensure environmental safety. It enables proactive measures to mitigate pollution impacts and maintain public health.
Load Balancer (PG Miniproject), Designed and implemented a secure load balancing solution for media professionals to ensure safe and private sharing of media data, optimizing performance and protecting sensitive content.
Design and development of machine and ensemble learning model for bio polymer classification, International Conference,The project focused on leveraging advanced algorithms to analyze and categorize biopolymers based on their unique features. Presented the findings at an International Conference, highlighting the model's effectiveness and potential applications in biopolymer research