Dr. Puja Das is an skilled in synthetic intelligence (AI) and machine studying (ML) know-how with intensive expertise in creating large-scale suggestion techniques throughout apps, video games, books, music and video streaming. For over a decade, she has immersed herself in creating personalised experiences to resonate with customers all over the world. In her work, she has discovered to mix engineering and utilized analysis with machine studying whereas navigating challenges alongside the way in which.

Profession and academic success

In a area the place girls are sometimes underrepresented, Dr. Das has discovered nice success after incomes a bachelor’s diploma in data know-how, a grasp’s diploma in laptop science, and a PhD in Machine Studying, the place she earned the distinguished IBM PhD Fellowship award. Her profession started as an utilized analysis scientist at Apple, the place she leveraged her data of machine studying to personalize person experiences throughout the Apple Music, Apple Books, App Retailer and Apple Arcade platforms. She has spearheaded the launch of many profitable initiatives inside Apple and performed a key position in organizing machine studying summits inside Apple, to foster collaboration.

After her work at Apple, Dr. Das led a staff in making a machine learning-based commercial suggestion system for Twitter (now X), pushing her exterior of her consolation zone as she managed each engineering and machine studying utilized analysis groups. After Twitter, Dr. Das took on the place of head of search and personalization at Warner Bros. Discovery, overseeing the client viewing experiences on Max, Discovery, HBO, and different choices. Her staff focuses on personalizing the person expertise utilizing complicated AI/ML algorithms beneath the hood.

Dr. Das and her staff performed a key position in launching WBD’s Max as a streaming platform globally. Whereas creating business influence and redefining the person expertise by personalization, she additionally continues to keep up her analysis presence by publishing and peer reviewing for worldwide conferences and journals in her area. This stability between sensible utility and scholarly work showcases her dedication to advancing each the business and her area of examine.

Challenges and altering narratives

For all her success, Dr. Das’s profession has not been with out challenges. In her expertise, she discovered that there was a shortage of position fashions in her area, notably girls and minority leaders in machine studying.

“I’ve made it a private aim,” says Dr. Das, “to contribute to altering the narrative round girls and minorities in machine studying. I have interaction in outreach efforts, together with talking at conferences, taking part in panels, and mentoring aspiring technologists. By sharing my journey and the teachings I’ve discovered alongside the way in which, I hope to encourage a brand new era of leaders who can see themselves mirrored within the roles they aspire to carry.”

By means of her work and illustration, Dr. Das is overcoming this problem in her area. This effort has fueled her need to ascertain an inclusive and numerous setting within the tech business, opening avenues for brand new concepts and improvements and permitting unexplored views to alter the panorama. Moreover, Dr. Das has bridged gaps between information scientists and business stakeholders, merging the worlds of academia and practicality to create workable, forward-thinking options.

Making an influence in her area

Persistence and persistence have been driving elements behind Dr. Das’s success, attributes whose worth she hopes to impart to others. Hers is a journey between tutorial perception and sensible purposes, accomplished solely by steady analysis, adaptability, and an understanding of the implementation of recent applied sciences. Her data as a pacesetter in AI and ML applied sciences has impacted giant firms and served to encourage the following era of ladies in her area.

Seeking to the longer term

Transferring ahead, Dr. Das hopes to change into extra concerned in AI’s increasing attain throughout know-how, arts, and healthcare, leveraging her intensive experience to launch her personal enterprise into the sector.

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