In order to understand the needs and preferences of society and provide people with better healthcare, transportation, and government services, we need to exploit all available data. Social networks have millions of users from diverse backgrounds, who share news, events, opinions, and facts every second of every day. There is a need to capture and make use of this massive amount of information. To this end, my research has involved a variety of technical contributions ranging from designing novel paradigms for machine learning with social media through to the implementation of scalable Big Data frameworks leveraging Apache Spark on the Amazon EC2 Compute Cloud to analyze over 40 TB of Twitter data in short periods of time.

Student @ From September 2013 to Present (2 years 4 months) Software Developer @ From May 2010 to February 2011 (10 months)

Master of Science (M.Sc.), Machine Intelligence & Robotics @ University of Tehran From 2010 to 2013 BS, Software Engineering @ University of Tehran From 2005 to 2009 Zahra Iman is skilled in: Machine Learning, Computer Vision, C, C++, Matlab, Artificial Intelligence, Programming, Java, Microsoft Office, Algorithms, LaTeX, HTML, Computer Science, Linux, PHP