Independent Researcher | Observational Astrophysicist | Data & Outreach Enthusiast

🔭 I explore the sky through photometric variability studies, anomaly detection, and machine learning applications in time-domain astronomy.

• Planetary nebulae (NGC 3918 🌀), binary stars (T CrB, Algol-type), exoplanet transits
• Real-time transient detection with platforms like Lasair
• ML-driven light curve modeling & anomaly forecasting
• Citizen science, public engagement, and open data pipelines

• Leading an international AAVSO campaign for NGC 3918
• Applying Bayesian statistics and ML to study Algol & T CrB variability
• Improving exoplanet transit modeling with EXOTIC + custom Python workflows
• Updating girijayaduvanshi.github.io – my independent research hub

• AstronomyPython based projects needing light curve analysis, ML modeling, or campaign coordination
• Public outreach efforts, blog features, and educational programs
• Data cleaning, feature engineering, and predictive science for astro-research groups

📧 [email protected]
🌐 girijayaduvanshi.github.io

She/Her

I’m not affiliated with an academic institution—but I’ve launched research campaigns, presented at public events, contributed to AAVSO, Slooh, and Lasair, and built a full-stack observational practice from scratch. My telescope is my voice—and I’m just getting started.