How to Build a Data Science Career on Kaggle and Beyond | Parul Pandey
Data-driven
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How to Build a Data Science Career on Kaggle and Beyond | Parul Pandey
2 722 просмотра · 6 лет назад
Data-driven
6,46 тыс. подписчиков
2 722 просмотра · 6 лет назад
#DataDrivenChat vol 29
How to Build a #DataScience Career on #Kaggle and Beyond: Turning Every Challenge into an Opportunity
In this episode, Ganna Pogrebna interviews Parul Pandey (Data Science Evangelist, Organiser of the Hyderabad Women in Machine Learning & Data Science Group, Kaggle Notebooks Grandmaster) on her career in #datascience. We discuss skills, capabilities, and ground knowledge one needs to get into data science and #AI; where to get these skills and capabilities; lack of #diversity and #inclusivity in data science and how we can fix it; #kids and #career, as well as many other interesting topics.
Parul Pandey, is a Kaggle Notebooks Master, Data Science Evangelist at H2O.ai, and mother to a 5-year-old son. Parul pivoted her career during maternity leave several years ago. She is also currently the main organizer of Women in Data Science and Machine Learning Group in Hyderabad. In her day job, Parul contributes to the creation of one of the leading open-source machine learning and artificial intelligence platform. As a data science evangelist, she writes and shares updates on Machine Learning tools as well as puts together round-ups about more general machine learning- and artificial intelligence-related things happening in tech.
Connect with Parul via:
LinkedIn / parulpandeyindia
Twitter: @pandeyparul