Tarique Siddiqui is a PhD candidate and a member of the Databases and Information Systems Research Group (DAIS) at UIUC. He was named Siebel Scholar for the Class of 2016. His research interests lie at the intersection of database systems, data mining and human-computer interaction. Under the guidance of Professor Aditya Parameswaran, Tarique is building the next generation visual data analytics system for exploratory analysis of large datasets with focus on developing fast in-memory database systems, approximate data mining algorithms, visual query language, and interactive visual interfaces. He also works with Professor Jiawei Han on heterogeneous network based text mining problems for identifying and ranking interesting concepts in large scale datasets such as scientific corpora. Previously, Tarique worked at Goldman Sachs on complex event processing, and large scale distributed system problems with emphasis on building online, self-learning and self-healing systems. He has a good knowledge of design, development, and deployment of multi-tier real world systems. He received his B.Tech in Computer science from National Institute of Technology India in 2011 and is a recipient of Indian National Talent Search (NTS) Scholar award, 2005. Other Skills: Enterprise application design and development, Design Patterns, Java (advanced), C++(advanced),, Python(advanced), Spring Web Technologies-HTML5,JavaScript framework-jQuery, Angular, bootstrap Messaging Frameworks: Kafka, ActiveMq. RDBMS: DB2, MySQL. Software Testing- Junit, TestNg, Integration testing. NoSQL/Hadoop ecosystem: Neo4j, MongoDb, Hbase, openTSDB, MapReduce, HDFS, Flume, Kafka, Data mining: Sound understanding of state-of-the-art classification, clustering , frequent pattern, spatio-temporal , anomaly detection, recommendation based data mining algorithms’. R (intermediate), WEKA, D3, Performance visualisation.