I am Joan Capdevila Pujol, Ph.D. candidate in Bayesian data science at Polytechnic University of Catalonia (UPC - BarcelonaTech) and associate researcher at Barcelona Supercomputing Center (BSC). After three years in the IT industry working as Business Intelligence Analyst and Data Analyst, I am back to the university to research on Bayesian model-based Machine Learning as an alternative methodology for building probabilistic algorithms that learn from data. See more about me and my research at http://personals.ac.upc.edu/jc/

PHD Candidate in Computer Architecture and Data Sciences @ From September 2014 to Present (1 year 2 months) Barcelona Area, SpainData Analyst @ As a Quantitative Marketing analyst, I was in charge of collecting, organising and interpreting the statistical land registry information from Spain (Catastro - DGC). My contributions helped to standardise and automatise the whole data process. I also participated in developing internal data products, such as AIS Habits® geomarketing indicators; which became key in any marketing process like targeting, customer intelligence, propensity and abandonment models, geomarketing, characterisation of points of sale, etc. Pre-sales activity was mainly focused on designing Marketing proposals for new emerging markets (Chile, Peru, Mexico,...), as well as for non-traditional marketing industries (telecom infrastructure, tollroads industry,...) From March 2014 to August 2014 (6 months) Barcelona Area, SpainBusiness Intelligence Analyst @ As a Business Intelligence Analyst, I have participated and led all the phases of Business Intelligence outsourcing projects: Gathering and defining reporting requirements with the business. Project budgeting and planning. Design and implement the ETL, data warehousing and reporting models. Test and validate the technological solution. Deployment and post go-live support of the solution From September 2011 to January 2014 (2 years 5 months) BarcelonaVisiting Researcher in BWN Lab @ I have been doing research on the novel field of Nanonetworks. Nanonetworks can be seen as networks of hundreds of nanodevices, nano-sized devices, with sensing and actuating capabilities. These nanodevices can sense nano-scale data which is transmitted hop-by-hop untill more capable devices, in which data can be interpreted and actions triggered. From February 2010 to December 2010 (11 months) Greater Atlanta Area

Master of Science in Information and Comunication Technologies, Information and Comunication Technologies @ UPC - ETSETB TelecomBCN From 2011 to 2014 Telecommunication Engineering, Communications and Signal Processing @ UPC - ETSETB TelecomBCN From 2005 to 2010 Joan Pujol is skilled in: Matlab, Business Intelligence, Machine Learning, Wireless Sensor Networks, Linux, R, Data Mining, Python, Natural Language..., Big Data, SAP BW, Business Objects, C, Testing, SQL, MySQL, PHP, Analytics, SAP, SAP BEx, SAP ERP, Supply Chain, HTML + CSS, SAS, Foursquare API, Twitter API, LaTeX, Big data