About

Rupesh Kumar Jha is a Backend Developer with expertise in Node.js and Java. He is currently employed at Paytm as a Software Engineer in the Recharges and Bill Payment team. Rupesh is responsible for developing APIs using Java and Spring Boot. He has a relevant experience of 0.86 years in the field of software development. Rupesh has completed his Bachelor of Technology in Electronics and Communications Engineering from the National Institute of Technology, Patna, in 2022. He has also completed his Intermediate education from Sri Chaitanya Junior College, Ameenpur, in 2017, and his 10th grade from Holy Mission High School, Darbhanga, in 2015. Rupesh has previously worked as a Data Science Intern at the Indian Institute of Technology, Patna, where he worked on the project of Data-driven prediction of battery cycle life before capacity degradation. He applied various techniques such as KNN, Naïve Bayes, Logistic Regression, SVM, Decision Tree, and Random Forest to achieve maximum accuracy of 97%. He has also worked as a Data Science Intern at The Sparks Foundation, where he created the Decision Tree Classifier and visualized it graphically on the IRIS dataset. He also used Linear Regression to predict the percentage of marks of a student based on the number of study hours studied. Rupesh has a strong technical background and is proficient in various technologies such as Node.js, Java, Spring, Spring Boot, SVM, Random Forest, Kafka, ML, SQL, Keras, CNN, Normalization, Spark, and Scikit. He is a skilled software engineer and has experience in backend development, data science, and machine learning. Rupesh is open to networking and can be reached at rupeshjha909@gmail.com.