About

Vini Jaiswal is a highly accomplished Data AI Influencer, Developer Advocate, Open Source Contributor, Published Author, Keynote Speaker, and Inspiring Woman in AI. With over a decade of experience working with some of the greatest companies on the planet, including Unicorns, Digital Natives, and Fortune 500s across verticals, Vini has established herself as a leader and influencer in the global data science and AI community. Currently serving as an Advisory Board Member at a stealth startup, Vini previously worked as a Developer Advocate at Databricks, where she accelerated innovation with the greatest companies around the world. She has been spotlighted as Rivery's "top 2021 Influencer" in Big Data, Data Science, and Analytics, and has received several awards and recognition for her customer and partner obsession. Vini is also a co-organizer of the Delta Lake community, a technical advisor at "Data Science for Covid-19", and a contributor to the Covid-19 resource hub. Vini is a published author by O'Reilly and a technical project contributor and member of the organizing committee of the Delta Lake Chapter at The Linux Foundation. She actively engages in content creation, mentoring, and championing great work people do, and helps them grow in their career aspirations. Vini is ambitious, driven and demonstrates positive impact influencing data communities. She has the attitude of helping teams succeed with their mission to solve global issues. Vini is a graduate of the University of Texas, where she earned her Master of Science degree, and Rajiv Gandhi Technical University, where she earned her Bachelor of Engineering degree. She has expertise in AI, Databricks, Data Science, ML, Big Data, Senior Software Engineering, Data Engineering, and Spark. Outside of work, Vini loves traveling, exploring new places and cultures, practicing yoga, and trying different yoga arts. Her posts and opinions shared are her own and do not reflect that of her current and past employers. You can follow her on Instagram, Twitter, Github, and LinkedIn for data and artificial intelligence news, resources, career advice, tips, and work experience-related posts.