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Rozmin Daya
Helping improve music recommendations using ML
Rozmin Daya is an accomplished Engineering Manager currently leveraging her expertise at Spotify to enhance the ML Personalization Platform for improved music recommendations.
With a background in Experimental High Energy Physics, Rozmin has a strong academic foundation having pursued a PhD, BA in Particle Physics, Physics, and Applied Mathematics at Southern Methodist University. Her professional journey includes significant roles at renowned organizations such as Facebook, where she served as a Senior Machine Learning Engineer focusing on news content classification.
At Spotify, Rozmin has held various positions including Senior Machine Learning Engineer, Research Lead/Data Scientist, and Machine Learning Engineer, showcasing her versatility in data science and technology. Prior to her roles in tech giants like Facebook and Spotify, she contributed to projects at New York Life Insurance Company as a Data Scientist/Statistician.
Rozmin's academic and professional trajectory includes positions as a Post-doctoral Researcher at University of Massachusetts Amherst, Post-doctoral Fellow at Brandeis University, Physicist at ATLAS @ CERN, and Teaching Assistant/Graduate Student at Southern Methodist University. She has a diverse and rich experience in both academic research and industry roles.
For professional networking, Rozmin prefers connecting on LinkedIn with individuals she has met in person during her career. She values meaningful professional relationships and offers referrals to those she has collaborated with, emphasizing a proactive approach when seeking referrals from her.
As an accomplished Engineering Manager, Senior Machine Learning Engineer, and Data Scientist, Rozmin Daya exemplifies a strong presence in the tech industry with a solid background in academia and research.
Rozmin's expertise spans across fields such as Machine Learning, Data Science, Particle Physics, and Applied Mathematics, making her a valuable asset in creating innovative solutions and enhancing user experiences in tech companies.
