Citizen Scientist

The International Astronomical Search Collaboration (IASC) is a citizen science program that provides high-quality astronomical data to citizen scientists around the world. These citizen scientists are able to make original astronomical discoveries and participate in hands-on astronomy. This service is provided at no cost!.

• Performed detailed examination of images for detecting asteroids and celestial objects.
• Created comprehensive reports summarizing findings and observations.
• Supported research efforts by providing accurate data analysis and insights.
• Improved the precision of detecting and tracking asteroids through meticulous image analysis.

Machine Learning Researcher

Conducting research as part of my thesis project, focusing on advanced machine learning techniques and applications.

• Conducted extensive literature review to identify relevant methodologies and gaps in current research.
• Developed and implemented machine learning models using Python, Scikit-learn, and TensorFlow, enhancing model performance.
• Collected, cleaned, and preprocessed large datasets to ensure data quality for robust model training and evaluation.
• Analyzed model results and generated actionable insights, collaborating with academic advisors and peers for feedback and refinement.

Computer Science & Engineering

CGPA : 3.56

Higher Secondary School

GPA: 5.00