Pinakini Samant

Pinakini Samant

Affiliation: Amazon Title: Business Intelligence Engineer II in the Retail industry

Pinakini Samant is a seasoned Business Intelligence Engineer II at Amazon, where she has been instrumental in leveraging high-performance computing (HPC) to drive insights in the retail industry. Her current research focus is on integrating HPC with climate data analytics, aiming to enhance the accuracy and efficiency of weather forecasting models. This work is particularly relevant in the HPC community, as it involves managing and processing vast datasets to predict climate patterns and mitigate the impacts of extreme weather events.

Pinakini’s experience as a participant in the PEARC2021 hackathons has profoundly shaped her approach to mentoring. Her hands-on experience in solving complex problems under time constraints has honed her ability to guide students through challenging HPC projects. She understands the importance of fostering a collaborative environment where students can explore innovative solutions, much like she did during the hackathons.

As an undergraduate researcher in a cutting-edge field, Pinakini brings a unique perspective to the HPC community. Her background in business intelligence has equipped her with a deep understanding of data management and analytics, which she now applies to climate science. Her work has the potential to significantly impact climate science by providing more accurate and timely predictions, thereby informing decision-making processes globally.

Pinakini’s participation in the HackHPC event has not only deepened her technical expertise but also instilled in her a passion for mentoring. She is committed to sharing her knowledge and experience with the next generation of HPC professionals, ensuring that they are well-equipped to tackle the complex challenges in climate data analytics. Her enthusiasm for the field, combined with her technical acumen, makes her an invaluable mentor in the HPC community.

In her role as a HackHPC Mentor, Pinakini will provide guidance on integrating HPC with climate data analytics, emphasizing the importance of scalable data management and efficient processing techniques. Her approach will be characterized by hands-on problem-solving, collaborative learning, and a focus on real-world applications. With her unique blend of technical expertise and educational experience, Pinakini is poised to make a lasting impact on the HPC community, particularly in the realm of climate science and data analytics.