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Gautham Narayan

PROFILE

Gautham Narayan

Worked on the gnarayan/decat_pointings repository to deliver features supporting astronomy data workflows, including targeted observation plan annotations, dataset releases, and onboarding improvements. Used Python, shell scripting, and Markdown to implement user-specific annotations, modernize upload tooling, and document observer onboarding processes. Developed and released a celestial observations dataset with validated coordinates and exposure times, collaborating with domain experts to ensure data quality. Enhanced data engineering practices by populating operational tables for analytics and establishing reproducible dataset release workflows. Focused on maintainability and traceability, the work improved data availability, streamlined onboarding, and enabled more reliable downstream research and operational analytics pipelines.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

8Total
Bugs
0
Commits
8
Features
5
Lines of code
504
Activity Months4

Your Network

53 people

Shared Repositories

53

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

For May 2026, delivered a Celestial Observations Dataset Release for gnarayan/decat_pointings. Added a new data file containing observational data for various celestial objects, including coordinates, exposure times, and related parameters. This release enhances data availability for downstream analytics and research pipelines, improves reproducibility through versioned commits, and sets the groundwork for future dataset releases. No major bugs fixed this month; focus was on data provisioning, validation, and documentation. Collaboration with Jen and Kathy is reflected in the commit e1b686468cd117205c1eedb6fb4faf2cd292afe1.

April 2025

5 Commits • 2 Features

Apr 1, 2025

Monthly summary for 2025-04: In gnarayan/decat_pointings, delivered two key features to streamline data workflows and improve observer onboarding. Implemented QC inventory upload tooling modernization by updating the symbolic link to the 2025 QC inventory upload script and reorganizing upload_scripts for better maintainability and future updates. Documented onboarding and repository cloning procedures to reduce setup time across machines, clarifying cloning commands and host aliases for new machines including CTIO DECam. No critical bugs reported or fixed this month; focus on reliability and maintainability. Overall impact: faster, more reliable data upload workflows; smoother observer onboarding; improved repository hygiene enabling faster future changes. Technologies/skills: Git, scripting/tooling modernization, documentation writing, cross-machine configuration, maintainability improvements, release-readiness.

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025 (2025-01) monthly summary for gnarayan/decat_pointings focused on delivering a targeted data population feature for GWMMADS ToOs and establishing end-of-year operational visibility. The change was implemented with clear traceability from commit to business value, ensuring ready-to-use data for logging and analytics.

November 2024

1 Commits • 1 Features

Nov 1, 2024

2024-11 Monthly Summary for gnarayan/decat_pointings focused on enabling targeted follow-up actions through user-specific annotations in the observation plan. Delivered a concise, user-centric annotation tied to @arminrest with minimal surface area for risk, supporting downstream workflows and guidance.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonShellTextplaintext

Technical Skills

Data EngineeringDocumentationFile ManagementScriptingastronomydata analysisdata management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

gnarayan/decat_pointings

Nov 2024 May 2026
4 Months active

Languages Used

TextPythonMarkdownShellplaintext

Technical Skills

DocumentationData EngineeringFile ManagementScriptingastronomydata analysis