I know how to make sense of data and translate it into actionable insights. I understand the business needs, and I ask the right questions. I'm experienced working with Big Data technologies (Hadoop, Redshift, Hive, Presto, MongoDB), different statistical software (R, SAS, SPSS, JMP, Matlab, Excel), data visualization tools (Tableau, SiSense, Qlikview), ETL's, query languages and scripting languages (python, Java). My experience covers the entire spectrum of the data funnel: • Collection • Warehousing • Mining • Analysis • Modelling • Machine Learning algorithms • Prediction • Reporting • Dashboarding • Automation

Data Scientist @ Statistical Research and Data Engineering on one of the world's largest and most unwieldy datasets. Part of team that focuses on Machine Learning for complex issues surrounding Market Intelligence When other people talk about big data they really have no idea. Day to day work required use of: Hive, Presto, Python, R, Data Visualization tools, ETL's, git, mercurial From June 2014 to Present (1 year 6 months) Data Scientist @ ironSource is the leading Software & Application distribution company, offering a complete ecosystem for downloadable applications. The company's main areas of focus are: Mobile/Desktop application development and distribution, recommendation engines, web search, and display advertising. • Established and Led a horizontally structured business intelligence department leveraging all the company's data. • Built predictive statistical models for understanding user behavior. • Designed intelligent recommendation engines and adservers with the use of machine learning algorithms to increase company revenues. • Created scale-able systems for automatic statistical modeling • Developed dashboards and alerting systems for ongoing product monitoring. • Mentored Junior Analysts and oversaw their development. My efforts in the BI department helped boost revenues by more than 30% annually, translating to tens of millions of profits. Day to day work required use of SQL, Tableau, R, python, Matlab, Pentaho, Excel, Amazon Redshift, Hadoop, Google Analytics From August 2012 to June 2014 (1 year 11 months) Statistician @ • Performed statistical analyses of time series based on trends in Israel and abroad. • Conducted regression analyses. • Examined aspects of the market in order to establish areas of improvement. • Monitored, calculated and reported key indicators. • Submitted reports to the Director of the Ministry and the OECD for publication. Day to day work required use of SPSS, Excel and Attentive FM platform for Survey Analysis From July 2011 to August 2012 (1 year 2 months) Statistical Consultant @ Consulted on statistical projects, MA/PhD Theses and ongoing ventures including: • Van Leer Jerusalem Institute Collected, predicted and analyzed Israeli Economic indicators • Renal Sense Performed statistical analysis and prediction for large data sets, which required use of Perl and VBA for Excel. • The Haddasah Medical Centre at Ein Kerem Performed frequency data analyses on patients before and after treatments in order to ascertain the perceived results of specific procedures and the efficiency of hospital staff and policies From August 2011 to July 2012 (1 year) IsraelDBA @ • Maintained the Library's circulation database. • Helped build an online catalog for digitized cartographic material. • Technical support for other library staff. From December 2010 to June 2012 (1 year 7 months) Retention and Account Executive @ • Retained Internet subscribers by resolving complaints, account-billing issues, and by providing technical assistance. • Re-Instilled value in the product to ensure satisfied customers. • Promotion to assistant supervisor January 2007 From April 2006 to May 2008 (2 years 2 months)

Master of Science (M.Sc.), Data Mining @ The Graduate Center, City University of New York From 2014 to 2016 Bachelor of Science (B.Sc.), Statistics @ The Hebrew University From 2009 to 2012 Independent coursework, Computer Science and Statistics @ Cousera.org Adam Stopek is skilled in: Analytics, Data Analysis, R, Business Intelligence, Statistical Modeling, Statistics, Microsoft Excel, Databases, Python, Big Data, SPSS, Tableau, Matlab, Data Mining, SQL