About

Sonakshi Reddy Morramganti is an experienced Machine Learning Engineer at Wayfair and Software Development Engineer at AWS. She holds a Master's degree in Computer Science with a specialization in Data Science from the University of Southern California. Sonakshi has a diverse set of skills in developing large-scale machine learning and NLP-based applications, back-end software development, ETL using Spark, and Kafka. With almost 5 years of relevant experience, Sonakshi has expertise in clustering, NLP, AI, topic modeling, classification, neural networks, text mining, deep learning, Seq2Seq models, NLU, time series, and autoencoders. She has worked with various databases such as MongoDB, Neo4j, PostGreSQL, and Elasticsearch. Sonakshi is proficient in Python libraries like Spacy, Matplotlib, NLTK, Gensim, Sklearn, Keras, and Pytorch. She is also skilled in programming languages like Python, Java, and Scala. Sonakshi has experience working with version control tools like Git, Restful Web Services such as Play, Cherrypy, Flask, and Tomcat. She is also well-versed in big data tools like Spark and Kafka and has worked on Linux and Windows 10 operating systems. Additionally, Sonakshi has experience working with cloud platforms like AWS and Azure and other tools like Docker, Jenkins, Jira, and Confluence. Before joining Wayfair and AWS, Sonakshi worked as a Software Development Engineer at Amazon and Graduate Research Assistant at the USC Ming Hsieh Institute - Department of Electrical and Computer Engineering. She has also pursued a Big Data Analytics and Optimization course from INSOFE. Overall, Sonakshi Reddy Morramganti is a highly skilled and experienced Machine Learning Engineer with a diverse set of technical skills and experience in various domains.