

A passionate Electronics and Communication Engineering graduate, eager to bring software proficiency and innovative problem-solving skills to web development. Equipped with a strong foundation in HTML, CSS, SQL, and JavaScript, and possessing hands-on experience in projects like full-stack development and machine learning for fraud detection. Committed to leveraging technical expertise and multilingual skills to contribute to advancing organizational goals in a dynamic environment.
My project defines about the designing of an UWB antenna with Filtering Characteristics. Increased signal selectivity by 15% by designing UWB patch antenna with integrated filtering capabilities. Utilized simulation tools such as HFSS/CST to optimize antenna parameters and assess performance metrics like gain, bandwidth, and return loss.
My project defines about Percentage of Fraud in Insurance and How to Overcome Fraud. Developed and deployed a machine learning model to detect fraudulent claims in insurance data. Utilized classification algorithms like Random Forest, Decision Trees, and Logistic Regression to identify patterns indicative of fraud.