Deepthi Raghunandan

According to our database, Deepthi Raghunandan authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States.

Arun M. Saranathan, Mahmoud Saeedimoghaddam, Brandon Smith, Deepthi Raghunandan, Grey Nearing, Craig Pelissier

CoRR, April, 2025

2024

Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations.

Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist

Inf. Vis., January, 2024

2023

Supporting Independent Learning and Rapid Experimentation in Data Science.

Deepthi Raghunandan

PhD thesis, 2023

Measuring How Data Science Notebooks Evolve Over Time.

Deepthi Raghunandan, Niklas Elmqvist, Leilani Battle

Interactions, 2023

How I Met Your Data Science Team: A Tale of Effective Communication.

Aayushi Roy, Deepthi Raghunandan, Niklas Elmqvist, Leilani Battle

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time.

Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, Niklas Elmqvist, Leilani Battle

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations.

Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist

CoRR, 2022