– Present

• Analyzed geometrical properties of kernels from three wheat varieties.
• Used statistical methods to measure and compare size, shape, and other traits.
• Documented findings, providing insights into the unique features of each variety.
• Presented analysis at academic forums, contributing to understanding wheat morphology.
• Unsupervised learning is used to train the model.

– Present

• Developed a machine-learning model for the Gamma Magic Telescope.
• Predicted whether the fired particle from the telescope is a gamma or hadron.
• Contributed to research reports through data-driven insights
• Programed different types of ML models for better accuracy.
• Connected the ML model with a website using Python Flask for better results.

– Present

• Developed a crime forecasting model using data analytics and machine learning
• Predicted crime hotspots to optimize resource allocation
• Contributed to improved public safety through data-driven insights
• Programed different types of ML models for better accuracy.