Dr. Puja Das is a highly skilled expert in the field of artificial intelligence (AI) and machine learning (ML) technology. With her extensive experience in developing large-scale recommendation systems across various industries such as apps, games, books, music, and video streaming, she has become a renowned figure in the field. Throughout her career, she has successfully combined engineering and applied research with machine learning techniques, overcoming challenges and pushing the boundaries of what is possible in AI and ML.
Dr. Das started her journey by earning a bachelor’s degree in information technology, followed by a master’s degree in computer science. Her thirst for knowledge led her to pursue a PhD in Machine Learning, where she received the prestigious IBM PhD Fellowship award. This strong educational foundation laid the groundwork for her successful career in the tech industry.
After completing her education, Dr. Das began her professional journey as an applied research scientist at Apple. At Apple, she utilized her expertise in machine learning to personalize user experiences across various platforms like Apple Music, Apple Books, App Store, and Apple Arcade. Her contributions to the company were significant, as she spearheaded the launch of numerous successful initiatives. Additionally, she played a crucial role in organizing machine learning summits to foster collaboration among her colleagues.
Dr. Das’s ability to adapt and thrive in different environments led her to her next challenge at Twitter (now X). Here, she led a team in creating a machine learning-based advertisement recommendation system. This transition pushed her outside of her comfort zone as she had to manage both engineering and machine learning applied research teams. However, her expertise and leadership skills allowed her to excel in this role, further solidifying her reputation as an AI and ML specialist.
Following her successful tenure at Twitter, Dr. Das took on the position of head of search and personalization at Warner Bros. Discovery. In this role, she was responsible for overseeing the customer viewing experiences on Max, Discovery, HBO, and other offerings. Her team specializes in leveraging complex AI/ML algorithms to personalize the user experience. Under her guidance, WBD’s Max streaming platform was launched globally, creating a significant industry impact and redefining the user experience through personalization.
Despite her remarkable achievements, Dr. Das acknowledges the scarcity of role models, particularly women and minority leaders, in the machine learning field. As a result, she has made it a personal goal to contribute to changing this narrative. Engaging in outreach efforts such as speaking at conferences, participating in panels, and mentoring aspiring technologists, she hopes to inspire a new generation of leaders who can see themselves reflected in their desired roles. Through her own journey and the lessons she has learned along the way, Dr. Das aims to establish an inclusive and diverse environment in the tech industry, where new ideas and perspectives can shape the future.
Dr. Das’s impact in her field extends beyond her own success. She has bridged the gap between data scientists and industry stakeholders, bringing together academia and practicality to develop innovative solutions. Her patience, persistence, and commitment to continuous research have positioned her as a leader in AI and ML technologies. Her contributions have not only impacted large corporations but have also served to inspire the next generation of women in the field, allowing them to envision their own success.
Looking towards the future, Dr. Das has her sights set on expanding the reach of AI in various industries, including technology, arts, and healthcare. Leveraging her extensive expertise and experience, she aspires to launch her own venture, further pushing the boundaries of what AI can achieve.
In conclusion, Dr. Puja Das is a true pioneer in the field of AI and ML technology. Her impressive educational background, coupled with her diverse professional experiences, has enabled her to navigate the challenges of the industry and make a significant impact. Through her achievements, she is not only changing the narrative around women and minorities in machine learning but also inspiring the next generation of leaders. Dr. Das’s passion, persistence, and commitment to advancing AI and ML technologies will undoubtedly shape the future of the field.
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