About

Mayur Sonawane is a Senior Consultant at Deloitte with over 8 years of experience in data engineering and application development in traditional as well as modern platforms. With a core consulting background, he has worked with clients in various industries such as Telecommunication, Media, Life Sciences, and Finance. Mayur has helped clients set up big data and web back-end applications, including ETL frameworks, MVC applications, and ML models. Mayur is a big data enthusiast with a strong hold on technologies like Python, Hadoop (Cloudera, EMR), NoSQL databases (MongoDB, HBase), and Cloud Platforms (AWS, Azure(training only), GCP). His primary interests lie in Data Engineering, Cloud technologies, and Machine learning. Mayur's technical skills include programming languages such as Python, R, Java, VB Script, and JavaScript. He has experience in big data technologies such as MapR DB, Hadoop, Map Reduce, HIVE, HBASE, and StreamSets. Additionally, he has experience in web technologies/servers such as HTML, CSS, XML, Bootstrap, Jquery, Ajax, Apache Tomcat, JSP, Spring MVC, Hibernate, and WordPress. Mayur has also worked with database technologies such as Neo4J, SQL Server, Sybase Server, Sqoop, TOAD, and SSIS. He is familiar with NoSQL databases such as DynamoDB, Snowflake, MongoDB, and HBASE. Mayur has experience working with various development tools such as PyCharm, Jupyter Notebook, Anaconda Navigator, KNIME, Eclipse (STS IDE), Airflow, Informatica 360i, NetBeans IDE8.0.2, Selenium, and UFT(QTP 11.5). He has worked with visualization tools such as Tableau, PowerBI, D3.js, Qlik, and MS Excel. Mayur is also familiar with data science algorithms such as Linear/Logostic Regression, Random Forest, SVM, Decision Tree, Xgboost, MLP, Deep NN, and Convolutional NN. He has worked with ML toolkits such as Keras, scikit-learn, Apache Mahout, and NLTK. Mayur has previously worked as a Data/ML Engineer at Deloitte and as a Data Engineer at Vertiv. During his tenure at Vertiv, he developed Alert Engines to collect global scientific data to help experts in Life Sciences and Healthcare. He