Accomplished data scientist with over 7 years’ global experience leading data analysts and data scientists in Europe, Americas and Asia to discover and articulate fast-paced business needs in consumer-oriented enterprises, and rapidly roll out solutions using best-of-breed machine learning & analytics tools and methodologies.

Head of Analytics @ From September 2014 to Present (1 year 4 months) London, United KingdomLead Analyst @ Responsible for forming and managing a team of 5 data scientists with the mandate to deliver value through insights for audience segmentation and optimization of content delivery. KEY PROJECTS: • Led agile development of a machine learning framework, covering processes and applications • Led training and development program for the analysts in core data science skills (JS, text analytics, Hive) • Developed and deployed demographic targeting models for advertisements on digital channels (Channel4.com, 4oD) • Developed a flexible propensity-based customer segmentation model augmented by quantitative and qualitative data • Developed a framework for multivariate testing of commercial break optimization of the online platform From September 2013 to August 2014 (1 year) London, United KingdomSenior Analyst – Head of International Analytics @ Tasked with building and managing a team of insights analysts to develop data-driven models and recommendations for improving player-experience and player-retention HEADING ANALYTICS IS: - About building strong relationship with the senior leadership and becoming a partner in strategic decisions; - About inspiring and equipping people in necessary skills and tools to unlock innovation; - About utilising technology that suits the purpose; KEY PROJECTS: • Built multi-language text analytics models for automating player service responses and product development recommendations based on the customer input. • Developed player retention and acquisition models to support marketing, customer experience, and service projects • Achieved significant productivity gains across the analytics organization through automation, self-service, and outsourcing of reporting operations • Led the business case and deployment of dedicated multi-node analytics infrastructure for international operations • Developed custom models for deriving actionable insights from social media data streams • Successfully undertook “myth buster” analytics projects to dislodge ineffective functions and replace them with disruptive growth ideas • Analyzed business operations to optimize staffing and maximize returns on investment From April 2012 to August 2013 (1 year 5 months) Data Analyst @ Responsible for supporting the international operations in areas including business planning, staffing, player segmentation and profiling, and statistical validation of key business-driver concepts. From August 2011 to March 2012 (8 months) Strategic Insights Analyst @ Worked with the Strategy group to generate analytics-driven business recommendations for the Board of Directors of Eircom on commercial, financial, and regulatory matters. KEY PROJECTS: • Worked as the only analyst in a 3-member team to develop a comprehensive, cross-organizational business planning model for projecting and course-correcting the impact of specific strategic investments • Implemented econometric modeling methods for fixed- and mobile-convergence product development and international communication traffic businesses From January 2010 to August 2011 (1 year 8 months) Business Intelligence Analyst @ Worked with the data warehouse team to source, visualize, interpret, and report data around operations and competition. From February 2007 to December 2009 (2 years 11 months)

Master's Degree, Computing (Knowledge Management) @ Dublin Institute of Technology From 2008 to 2010 Master's Degree, Systems Engineering @ Szkoła Główna Gospodarstwa Wiejskiego w Warszawie From 2005 to 2006 Bachelor's Degree, Systems Engineering @ Szkoła Główna Gospodarstwa Wiejskiego w Warszawie From 2001 to 2004 Magda Piatkowska is skilled in: MS Excel (VBA, Data Analysis, Pivot), Access and PowerPoint, SAS Enterprise Data Miner 5, BI Hummingbird, Teradata SQL Assistant, Teradata Teraminer, DBVisualiser, SQL, SQL for Vertica, SOQL Explorer, Tableau, Java Expert System Shell (JESS), VBA, SPSS, STATISTICA, STATISTICA Neural Networks 4.0