Berlin

November 4 & 5, 2024

New York

September 4 & 5, 2024

Jigyasa Grover is a Machine Learning Engineer at Twitter, Inc and co-author of the book “Sculpting Data for ML”. She has a myriad of experiences from her brief stints at Facebook, Inc., National Research Council of Canada, and Institute of Research & Development France involving Data Science, mathematical modeling, and software engineering. Having graduated from the University of California, San Diego, with a Master’s degree in Computer Science with an Artificial Intelligence specialization, she is presently plying her past experiences and knowledge towards Applied Machine Learning in the online advertisements prediction and ranking domain.

Red Hat ‘Women in Open Source’ Academic Award Winner and Google Summer of Code alumna, Jigyasa is an ardent open-source contributor as well. She served as the Director of Women Who Code and Lead of Women Techmakers for a handful of years to help bridge the gender gap in technology. In her quest to build a powerful community of girls and boys alike, and believing in “we rise by lifting others,” she mentors aspiring developers and Machine Learning enthusiasts in various global programs.

She also has many international conference keynotes, technical talks, panels, workshops, blogs, and podcasts to her name. Apart from her technological ventures, she enjoys exploring new places, hanging out with friends and family, and has been recently having fun with baking. You can visit her online at jigyasa-grover.github.io or on Twitter (@jigyasa_grover).

Using Open Source safely and effectively

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Sculpting data for machine learning

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