Payam is a Data Scientist with expertise in machine learning and predictive modelling. His studies have provided him opportunities to learn and work in various countries including Iran, South Korea, UK, as well as Canada. He has publications in some of the world’s most renowned scientific venues, such as the IEEE journals and conferences. Currently, Payam is a Data Scientist at Appnovation Technologies and a Research Fellow at the University of British Columbia in Vancouver. He is also a tough basketball player and enjoys riding his bike to work along the Vancouver Seawall.  5+ years experience in high-impact Research & Development in computer science.  Solid understanding of Data Analytics and Business Intelligence pipeline and components.  Expertise in data collection and storage, data preparation and cleaning, exploratory data analysis, building predictive models and interactive data visualization dashboards.  Deep knowledge of machine learning and data mining algorithms and their use cases.  Strong team-working skills in collaborative and multicultural environment.  Track record of scientific publications in computer science.  15+ years of basketball, biking, jogging, hiking, kayaking and fun! Lived in 7 cities, 4 countries, 3 continents: Babol, Iran (18 yrs) -> Karaj, Iran (2 yrs) -> Tehran, Iran (1 yr) -> Sabzevar, Iran (3 yrs) -> Daegu, South Korea (1 yr) -> London, UK (3 yrs) -> Vancouver, Canada (since 2014)

Data Scientist @ Core skills: - Business Intelligence - Advanced Analytics - Text Analytics / Mining - Social Media Sentiment Analysis Software Skills: - Apache Hadoop Ecosystem (Hive, Pig, Tez, HCatalog) - Hortonworks Data Platform - Microsoft Azure - Alteryx - MongoDB, NoSQL database From March 2015 to Present (8 months) Vancouver, Canada AreaPostdoctoral Research Fellow @ Conducting cutting-edge R&D in Data Science Technical skills: - Database Management Systems (SQL and NoSQL) - Data Validation, Wrangling and Cleaning - Exploratory Data Analysis - Data Mining - Text Mining - Predictive modelling - Machine Learning - Visual Analytics - Data Visualization - Software: R, Tableau, Alteryx, Matlab From January 2014 to Present (1 year 10 months) Vancouver, Canada AreaLab Manager @ Media and Graphics Interdisciplinary Centre (MAGIC) is a hub for multidisciplinary and interdisciplinary technology-related research at the University of British Columbia. Responsibilities include providing technology support and solution for multiple ares in arts, social sciences, humanities, music, library and archival studies, etc., managing projects hosted at MAGIC Lab, supervising students and Research Assistants, determining skills and requirements for each project, and managing the physical lab space and equipment. From January 2014 to April 2015 (1 year 4 months) Vancouver, Canada AreaTeaching Fellow @ Lecturing undergraduate and postgraduate courses at the School of Science and Technology. Module leader for Linear Control Systems (undergraduate) and Engineering Project Management (postgraduate). Supervising 6 teams of 6 MSc students for their final group project. Teaching Assistant for Data Warehouse, Decision Support and Database Management Systems courses. From October 2011 to December 2013 (2 years 3 months) London, United KingdomGraduate Research Assistant @ As the 2nd best national university in South Korea, the KNU gathers the worlds best researcher to work in collaboration with industry giants in Korea such as Samsung, LG, Hyundai, and Kia. Responsibilities included conducting cutting edge research in Vision-based Robot Navigation, Machine Learning, and Ubiquitous Healthcare systems at the Pattern Analysis and Machine Intelligence Lab (PREMI). From January 2010 to October 2010 (10 months) Buk-gu, Daegu, Korea

Doctor of Philosophy (PhD), Computer Science @ Middlesex University London, UK From 2010 to 2013 Postgraduate courses, Electrical Engineering & Computer Science @ Kyungpook National University, South Korea From 2009 to 2010 Bachelor of Science (BSc), Electrical and Electronics Engineering @ Azad University of Sabzevar, Iran From 2006 to 2009 Associate of Science (AS), Electrical and Electronics Engineering @ Azad University of Karaj, Iran From 2001 to 2004 Payam Rahmdel is skilled in: Machine Learning, Data Analysis, Computer Vision, Image Processing, Artificial Intelligence, Data Mining, R, Tableau, Hadoop, Predictive Modeling, Windows Azure, Big Data, Apache Hive, Apache Pig, Python, Matlab, Algorithms, C++, SQL, R&D, Alteryx, Supervision, Project Management, Control Systems Design, Programming, Qualitative Research, Numerical Analysis, LaTeX, Mathematical Modeling, Simulink, Simulations, Research Design, Statistical Modeling, Visual Analytics, Lecturing