Enthusiastic Data Analyst with expertise in SQL, Power BI, Statistics and Probability, Data Modeling, Python, and Data Visualization, dedicating full effort and focus to acquiring knowledge and performing tasks to the highest possible degree, and looking forward to working as a team in an organization and developing technically with the team culture.
Employee performance analytics
11/01/24 - 02/01/25
Attrition, or employees leaving a company, is a common issue affecting businesses, causing disruptions, and extra costs for hiring and training. Using a model to predict possible departures helps HR intervene in time, and reducing attrition improves overall business efficiency. In this project, discover the factors contributing to employee turnover, and investigate key queries, such as analyzing distance from home based on job roles and attrition, or comparing average monthly income by education and attrition.
Image fusion of CT scan and MRI scan
07/01/19 - 03/01/20
Tool used: VMD – Visual Molecular Dynamics
In this work, we propose a new multimodal medical image fusion approach based on variational mode decomposition (VMD) and local energy maxima (LEM) With the help of VMD, we decompose source images into several intrinsic mode functions (IMFs) to effectively extract edge details, by avoiding boundary distortions LEM is employed to carefully combine the IMFs based on the local information, which plays a crucial role in the fused image quality by preserving the appropriate spatial information.
Date of Birth: 02/11/99