Kartik Kannapur is a Senior Data Scientist at Amazon Web Services, where he leverages his extensive background in applied mathematics and statistics to drive innovative solutions in sustainable packaging. With a Master's Degree from Stony Brook University, Kartik combines his academic expertise with practical experience...
Kartik Kannapur is a Senior Data Scientist at Amazon Web Services, where he leverages his extensive background in applied mathematics and statistics to drive innovative solutions in sustainable packaging. With a Master's Degree from Stony Brook University, Kartik combines his academic expertise with practical experience gained from previous roles at LogMeIn and the Bosch Center for Artificial Intelligence. His current focus on sustainable packaging aligns with Amazon's commitment to environmental responsibility, where he employs advanced data analytics and machine learning techniques to optimize packaging solutions that minimize waste and enhance efficiency.
In his role, Kartik is instrumental in developing predictive models that analyze consumer behavior and packaging performance, utilizing his proficiency in Python, C++, and Java to create robust algorithms. His expertise in deep learning and image processing allows him to extract valuable insights from complex datasets, driving data-driven decisions that support Amazon's sustainability goals. Additionally, Kartik's experience with big data technologies like Hadoop enables him to manage and analyze large volumes of data, ensuring that the solutions he develops are both scalable and impactful.
Kartik's passion for innovation and sustainability is evident in his key projects, where he collaborates with cross-functional teams to implement cutting-edge technologies that enhance product lifecycle management. His ability to communicate complex technical concepts to non-technical stakeholders ensures that his insights translate into actionable strategies that benefit both the company and the environment. As a thought leader in the field, Kartik continues to push the boundaries of data science, making significant contributions to Amazon's mission of becoming the most customer-centric company in the world while championing sustainable practices.
