Koushik Naskar

Koushik Naskar is an independent academic developer whose small, research-oriented catalog currently centers on the Interactive Data Editor, a lightweight Windows utility that turns raw numerical or categorical tables into visual canvases. Instead of typing values into spreadsheet cells, researchers, students and engineers can click, drag and zoom to reposition points, brush-select clusters, or slide color-mapped surfaces in real time; changes are written back to the underlying CSV, TSV or JSON file as soon as the mouse button is released. The program is built with modern web technologies packaged as a native desktop app, so it launches quickly, embeds a WebGL renderer for smooth interaction with tens of thousands of rows, and exports snapshots to SVG or PNG for immediate inclusion in papers or reports. Typical workflows include cleaning measurement outliers for physics lab courses, annotating trajectory data for robotics projects, preparing labeled training sets for machine-learning coursework, or simply exploring multivariate datasets during exploratory data-analysis seminars. Because the tool keeps the entire session in human-readable JSON, version control and reproducibility are trivial: a single commit records both the new data and the visual state. Although the portfolio is still focused on this single title, its open architecture and scripting panel hint at forthcoming modules for curve fitting and statistical summarization. Interactive Data Editor is offered free of charge on get.nero.com, where it is delivered through trusted Windows package sources such as winget, always installs the newest build, and can be queued alongside other applications for unattended batch deployment.