About

Rahul Arora is a highly motivated IT professional with expertise in SAS, SQL, Relational Databases, Data Modeling, Systems Analysis, Data Analysis, and Visualization using Excel, Python, and Tableau. He is currently working as a Data Scientist at PayPal, where he specializes in Seller Risk Strategy. Rahul holds a Master's degree in Management Information Systems, Business Intelligence, and Analytics from the University of Arizona's top-ranked MIS program (#3 in the US). He also has over 6 years of professional experience with leading Information Technology consulting companies, where he has worked with clients to understand their business problems and deliver technology solutions. Rahul has an impressive skill set that includes proficiency in Data Analytics tools such as Tableau, Spotfire, PowerQuery, PowerPivot, and Power BI, as well as statistical analysis tools like SAS/Base, SAS/SQL, SAS/Macro, and SPSS. He is also experienced in using data management tools such as Alteryx, Oracle SQL Developer, TOAD, and MS Access, and has a strong programming background in SQL, PL/SQL, Java, and Python. In addition to his technical skills, Rahul has earned several certifications, including Tableau Desktop 9 Qualified Associate, Business Intelligence & Analytics from Eller College of Management, Analyzing & Visualizing Data with MS Excel from EDX, and Data Analysis and Python Programming from Dataquest.io. Rahul has also worked with companies such as Cisco and Sharing Tribes LLC, where he has provided visibility in the effectiveness of marketing campaigns, established MapR Hadoop data source connections with Tableau, and developed a MySQL based relational database. He has also analyzed business requirements and prepared entity relationship diagrams, data flow diagrams, and functional specification documents. Overall, Rahul has 9.45 years of relevant experience in the field of Data Science, Research Science, SQL, Python, MySQL, Hadoop, Java, and Apache Hive. He is a highly skilled and motivated individual who is passionate about using data to solve complex business problems.