[1] Ramasamy et. al, “Workflow analysis of data science code in public GitHub repositories”, Empirical Software Engineering Journal 28, Article number: 7 (2023).

[2] Ramasamy et. al, “Visualising Data Science Workflows to Support Third-Party Notebook Comprehension: An Empirical Study”, Empirical Software Engineering Journal 28, Article number: 58 (2023).

[3] Ramasamy. D, “Towards AI-assisted Data Science Development”, International Conference on Hybrid Human-Artificial Intelligence (2023).

[4] Ramasamy et. al, “AI Support for Data Scientists: An Empirical Study on Workflow and Alternative Code Recommendations”, Empirical Software Engineering Journal 30, Article number: 133 (2025).

[5] Collaborative work, “Alan’s Speakeasy-An Ecosystem for the Evaluation of Conversational Agents”, The Web Conference (2025).

[6] Collaboration with JetBrains, “Observing Fine-Grained Changes in Jupyter Notebooks During Development Time” (2025).

Datasets

[1] Ramasamy et. al, “Data Science Tasks used in “AI Support for Data Scientists: An Empirical Study on Workflow and Alternative Code Recommendation”“, Zenodo (2024).

[2] Ramasamy et. al, “AI Support for Data Scientists: An Empirical Study on Workflow and Alternative Code Recommendation”, Zenodo (2024).

[3] Ramasamy et. al, “Visualising Data Science Workflows to Support Third-Party Notebook Comprehension: An Empirical Study”, Zenodo (2022).

[4] Ramasamy et. al, “Workflow analysis of data science code in public GitHub repositories”, Zenodo (2021).

Presentations



Awards

  • Inside look, Google, Zurich, 2016
  • Humane-AI NET Travel Awards, 2023