About

Prasad Shende is a self-motivated and experienced Software Engineer at Amazon with a specialization in Data Science. He has completed his Master's in Computer Science from North Carolina State University, where he gained expertise in various technical skills, including programming languages such as Python, JAVA, C++/Cpp, C, R, databases like SQL, MySQL, PostgreSQL, Mongo DB, Hadoop, and frameworks like NoSQL, Java Script, Apache Spark, Apache Kafka, SpringMVC, Hibernate. Prasad has a passion for data science and has demonstrated exceptional ability in this field. He is a well-rounded individual who is always eager to learn new technologies and skills and implement them to build new solutions. Prasad has worked with various algorithms such as Linear Regression, Multiple Linear Regression, Logistic Regression, TF-IDF, Clustering, K-means clustering, Density-Based Clustering, Hierarchical clustering, SVM, KNN, Random Forest, Decision trees, Information retrieval, Bayesian networks, Neural networks, CNN, RNN, HAN, BERT, NLP, Elmo, Nltk, Spacy, etc. Prasad has worked as a Data Scientist and Data Science Intern at IBM, where he conceptualized a code pipeline to annotate news articles to industry solutions developed by IBM. He also designed an unsupervised and supervised classifier to classify news in Python programming language and implemented algorithms like TF-IDF and Bi-directional LSTM neural networks. He improved the classification score of the existing system by over 50% and true positive classification rate by 80%. Prasad also designed a dashboard for SME using Flask and JQuery for IBM sellers to interact with recommendation systems. He performed A/B testing and automated testing to ensure performance and continuous delivery on Kubernetes container. Prasad's technical expertise and experience have made him proficient in various tech stacks such as Software Engineer, Data Scientist, AWS, Research Scientist, Kubernetes, Neural Networks, SQL, Information Retrieval, BERT, SVM, Random Forest, Python, Java, CNN, RNN, NLP, Spark, PHP, MySQL, NoSQL, MongoDB, Hadoop, Kafka, Recommendation system, Flask. His relevant experience in the field is 3.79 years.