Experienced software engineer with over 6 years of expertise in web application development across healthcare, e-commerce, CRM, and education industries. Proficient in PHP, Laravel, JavaScript (Vuejs, Reactjs), MySQL, and PLSQL. Demonstrated success in leading teams to develop innovative solutions and conducting comprehensive pre-release and live diagnostic testing. Specialized in analyzing user requirements, creating APIs, and delivering high-quality web applications to meet customer needs.
Developed new features, resolved bugs, and interacted with clients to gather requirements and deliver customized solutions.
Engaged in full-time software engineering roles since August 2022, focusing on banking domain projects within Performance Management Systems (PMS) sub-modules.
Contributed to on-site web development projects in Guwahati Area, India as a full-time PHP Web Developer at Web Infotech for three years and nine months.
An effective method to estimate missing value for heterogeneous dataset
In this project we are able to confine our own method in case of predicting a missing value in a data set. Moreover there will be also a problem in retrieving the original data for analysis or to make a difference in comparison between different techniques and validation measures that is to be applied to justify the result in a more pure and satisfactory form. Though we cant make the exact estimation but we can estimate a nearer value that can help out for analysis and to get a view of that missing data.
Published URL:http://www.publishingindia.com/IJKBCS/72/an-effective-method-to-estimate-missing-value-for-heterogonous-dataset/762/5297/