Analytical, driven, ambitious, and goal oriented. Multilateral technical problem solver with a strong businees acumen and a passion for data science and big data analytics. Possess the ability and desire to see the overall picture without losing focus from details. Specialties: predictive modelling, machine learning, data mining, analytics, project management, fault-tolerant architectures, dependable systems, embedded mechatronic systems, diagnosis and supervision Tools and technologies: Scala, Python, R, SQL, C, Spark, Hive, Redshift

Data Scientist @ Analyzing, modeling, and predicting, customer behavior and turning the results into business impacting data-driven products and solutions. Involved in projects focused on user modeling and profiling for, e.g., ad targeting across the Schibsted eco-system, and loyalty modeling and churn prediction for our media houses. Work mostly with Spark (Scala), but also Python and R. From March 2014 to Present (1 year 10 months) Stockholm, SwedenSenior Engineer / Technical Project Manager @ Main task was to initiate, lead, and conduct, pre-development activities within the area of data mining and advanced data analytics for Intelligent Transport Systems and Services (ITS). Broad role containing everything from requirements definition, design, implementation and demonstration of the results. Additional tasks included research and pre-development activities related to heavy road-vehicle platooning and decision support systems for transport optimization. This involved research and development work as well as planning and preparation of national (Vinnova/FFI) and european union (FP7) funded research projects. From June 2012 to February 2014 (1 year 9 months) Industrial Doctoral Student @ Worked on methods and algorithms for fault diagnosis and fault management. Focused mainly on automotive applications. From January 2007 to June 2012 (5 years 6 months) Software Engineer @ Development of control system software for engine diagnosis and supervision. From May 2009 to May 2010 (1 year 1 month) Master Thesis Student @ From June 2006 to December 2006 (7 months)

Ph.D., Electrical Engineering @ Linköpings universitet From 2007 to 2012 M.Sc., Engineering Physics and Electrical Engineering @ Linköpings universitet From 2001 to 2006 Carl Svärd is skilled in: Embedded Systems, Matlab, Signal Processing, Software Development, Machine Learning, Analytics, Data Mining, Simulations, Apache Spark, Big Data, Predictive Analytics, Python, Optimization, Scala, Spark