Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

A repository deploying a simple Node.js and React application using blue ocean on Jenkins.

Successfully established a machine learning model that can accurately predict the sales of a superstore based on various features such as quantity, profit, discount, postal code, etc. The features are mainly associated with order details and customer demographics.

An intelligent chatbot built with LangGraph that uses conditional tool routing, reflection-based validation, and multi-tool reasoning for high-quality responses.

Set of tables data structure serializes via MessagePack.NET As String