All Press Releases for July 11, 2024

Marquis Who's Who Honors Sai Sharanya Nalla for Expertise in Data Science and Machine Learning

Sai Sharanya Nalla recognized as an AI expert with over a decade of experience, including key roles at Nike, AWS and Amex.



Sai Sharanya Nalla envisions creating an ecosystem that leverages data and advancements in AI to improve lives while addressing ethical challenges associated with these technologies.

    NEW YORK, NY, July 11, 2024 /24-7PressRelease/ -- Sai Sharanya Nalla has been included in Marquis Who's Who. As in all Marquis Who's Who biographical volumes, individuals profiled are selected on the basis of current reference value. Factors such as position, noteworthy accomplishments, visibility, and prominence in a field are all taken into account during the selection process.

Ms. Nalla is a distinguished Principal Data Scientist at Nike Inc. who has been instrumental in driving innovation at the intersection of Artificial Intelligence (AI) and Sports Science in Fitness and Wellness. With over a decade of experience in her field, she has made significant contributions to developing and implementing machine-learning models and AI-driven solutions. At Nike, Ms. Nalla is spearheading the Data Science efforts for the Nike Running Club (NRC) and Nike Training Club (NTC) fitness apps, driving data-driven insights and innovation. Furthermore, she leads a Research and Development team dedicated to developing cutting-edge products and features that leverage connected products and personalized workout recommendations to enhance the athlete experience.

Before joining Nike, Ms. Nalla honed her skills at Amazon Web Services (AWS), where she held the positions of Data Scientist II and Senior Data Scientist from 2019 to 2022. During her tenure, she contributed substantially to Machine Learning Operations (MLOps) and optimized High Performance Computing (HPC) problems using Machine Learning. Her work was featured in several publications, including AWS ML and HPC Blog and AWS Whitepapers articles. Additionally, she showcased her expertise through presentations and talks at prestigious events like AWS re:Invent. Earlier in her career, Ms. Nalla held leadership roles at American Express, serving as Manager and Senior Manager of Data Science from 2016 to 2018. There, she pioneered the development of Amex's machine learning platform, successfully developed over 86 machine learning models. These roles formed the foundation of her expertise in AI and ML, preparing her for her current leadership position at Nike.

Beyond her primary role at Nike Inc., Ms. Nalla has held a range of influential positions, showcasing her expertise and commitment to the field. She has served as an AI Mentor at Topmate.io and an AI Advisor at Tola Capital since 2024, providing guidance and strategic insights to drive innovation. Additionally, she was a Data Science coach for Boarding Pass for Success from 2021 to 2023, empowering the next generation of data scientists. Ms. Nalla's expertise has been widely recognized, with numerous speaking engagements at prestigious forums, including the Women in Data Science Conference, Grace Hopper Conference, Generative AI Summit, Sport AI Conference, and The AI Summit. She has also delivered lectures at esteemed institutions such as Georgetown University and the University of Southern California (USC), sharing her knowledge and insights with a broader audience.

Ms. Nalla's academic background includes a Bachelor of Engineering in Computer Science from Osmania University, completed in 2014, and a Master of Science in Computer Science from Missouri University of Science and Technology, earned in 2015. Beyond her formal education, she has bolstered her expertise through certifications, including Amazon Web Services Solutions Architect Associate, Amazon Web Services Cloud Practitioner, Certified Amazon Web Services Speaker, and more.

Owing to her steadfast dedication to continuous learning and professional development, Ms. Nalla is involved with various industry-related organizations. She is actively affiliated with the Computer Society of India and is a Senior Member of the Institute of Electrical and Electronics Engineers. Furthermore, she is involved with the BCS Fellowship and AnitaB's AI Committee. Ms. Nalla's commitment to mentoring the next generation of data scientists is reflected in her volunteer work with Rewriting the Code, ReadWorks, and Women at Amazon. Her expertise is also sought after in peer review roles, including reviewing the book "Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices'' and papers submitted to the 5th ACM International Conference on AI in Finance.

Ms. Nalla's achievements have been recognized with several prestigious awards. These include the Titan 2024 Award for "Pioneer in AI-Driven Coaching," the 2023 Internet 2.0 Conference Visionaries Award, and many more. Additionally, Ms. Nalla received an Innovative Product Award at the Hackathon Event with Nike Inc. and has served as a judge at several industry awards.

Outside of her professional life, Ms. Nalla enjoys spending time with her family, kayaking, and walking. Looking ahead, she envisions creating an ecosystem that leverages data and advancements in AI to improve lives while addressing ethical challenges associated with these technologies. Ms. Nalla aims to develop best practices and regulatory frameworks to ensure responsible deployment of machine learning models.

About Marquis Who's Who®:
Since 1899, when A. N. Marquis printed the First Edition of Who's Who in America®, Marquis Who's Who® has chronicled the lives of the most accomplished individuals and innovators from every significant field of endeavor, including politics, business, medicine, law, education, art, religion and entertainment. Who's Who in America® remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms around the world. The suite of Marquis® publications can be viewed at the official Marquis Who's Who® website, www.marquiswhoswho.com.

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