I'm a Data Scientist and ML Engineer with a solid foundation in Data Engineering. I bridge the gap between massive cosmic datasets and actionable scientific insights. My passion lies in applying machine learning, computer vision, and big data architectures to solve complex astronomical challenges—from classifying galaxies to processing real-time satellite and telescope telemetry.
"Leveraging data engineering pipelines to build intelligent ML models that explore the cosmos."
- 🔭 Working on: Building ML models for astronomical image classification and light-curve analysis.
- 🌱 Learning: Deep Learning frameworks for Astroinformatics & Advanced Cosmological Data Analysis.
- 💡 Interested in: MLOps for scientific research & real-time transient astronomy pipelines.
- 🎯 Goal: Contributing to open-source space science and astronomical data projects (e.g., NASA, ESA, or Rubin Observatory data).
Data Science & Machine Learning
Astronomy Tools & Libraries
Big Data & Engineering
Cloud Platforms & MLOps
| Project | Description | Tech Stack |
|---|---|---|
| 🌌 Galaxy Morphology Classifier | Deep learning model (CNN) to classify galaxy types using SDSS/Hubble image data. | PyTorch, Python, OpenCV |
| ☄️ Exoplanet Detection Pipeline | Light-curve time-series analysis for transit detection using Kepler/TESS satellite data. | Astropy, Scikit-Learn, Pandas |
| 🚀 Real-Time Telemetry Pipeline | Scalable Kafka-Spark streaming architecture for high-frequency telescope data processing. | Spark, Kafka, Airflow, Python |
👉 View all projects on my GitHub Profile
