DSI Student Council
About Us
The Data Science Institute Student Council (DSISC) was originally formed to advocate for the students of DSI. Over the years, it has evolved into a community, working towards improving DSI students’ experience at Columbia. Now, the agenda of the council is multifold: (i) to serve as representatives of DSI students by gauging their needs and addressing them and/or bringing them to the attention of those who can, (ii) encourage a sense of community among the students through social mixers and/or technical events, (iii) support the technical advancement of students by providing necessary resources, (iv) build a stronger and better connected alumni network.
For student council inquiries, contact us at dsi-studentcouncil@columbia.edu
Meet the Board
Treasurer
Riddhi Dinesh Oza
Pronouns: She/Her/Hers
Email: riddhi.oza@columbia.edu | Connect on LinkedIn
Social Chair
Samhitha Narasipura
Pronouns: She/Her/Hers
Email: sn3145@columbia.edu | Connect on LinkedIn
Career Resources Chair
Arvind Nagabhirava
Pronouns: He/Him/His
Email: an3317@columbia.edu | Connect on LinkedIn
Meet the Members
Voting Member
Molly Verhaaren
Pronouns: She/Her/Hers
Email: mcv2150@columbia.edu Connect on LinkedIn
Voting Member
Neha Arun Angadi
Pronouns: She/Her/Hers
Email: naa2204@columbia.edu Connect on LinkedIn
Voting Member
Sarah Firestone
Pronouns: She/Her/Hers
Email: saf2224@columbia.edu Connect on LinkedIn
Events
Social Gatherings
Unwind and connect with peers through relaxing picnics at local parks, game nights, museum tours, and more.
Holiday Events
Celebrate the seasons with exciting activities like painting, potlucks, games, costume parties, and more.
Social Media
Follow the DSI Student Council on social media to stay updated on events, activities, and everything happening in our community.
LinkedIn: linkedin.com/company/columbiadsisc
Instagram: @columbia_dsisc
Podcast
Outlier Detected is a podcast series by the Columbia University Data Science Institute Student Council exclusively dedicated to telling the stories of individuals in data that stand out beyond the normal.
Spotify: https://open.spotify.com/show/3zkSLC9oVeUNjUCyeS19gm
Anchor: https://anchor.fm/columbia-dsisc
RSS feed: https://anchor.fm/s/5395213c/podcast/rss