Sheetal Borar
Sheetal has six years of experience in data science and machine learning, with a career that spans Asia and Europe and active engagement with the global data science community. She worked at Amazon as an Applied Scientist in London, focusing on personalization, and as a Machine Learning Engineer at JP Morgan Chase in Hong Kong. She holds a master’s degree in Data Science and AI from a dual degree program in the Netherlands and Finland, during which she published papers at top-tier conferences. Currently, she leads a paper reading group in the Northeast, facilitating discussions with fellow data professionals.
Sheetal is deeply passionate about fostering and growing women-focused communities in tech. As a WiDS (Women in Data Science) ambassador, she actively supports initiatives that empower women in the field. Her dedication to community impact was recognized with the Social Impact Award in Germany.
Sessions
In this panel discussion, WiDS ambassadors will share how building communities in data science empowers women through knowledge sharing, mentorship, and networking. We'll explore how these communities enhance both personal and professional growth, while providing accessible opportunities for everyone to join, get empowered, and make an impact.