I'm enthusiastic professional with 5 years of successful work experience in data science and statistical analysis. My specialties are predictive modeling, customer segmentation, experimental design. My everyday tools are Python, R, SQL. Find out more here: http://maijam.com/

Senior Data Scientist @ • Driving data science projects and analytics deep dives within several game studios. • Developing accurate user LTV estimation models. • Contributing to the technical vision of the analytics tools across company (AB testing, reporting, tracking, visualisations). • Mentoring less-experienced members of the team. From August 2015 to Present (5 months) Berlin Area, GermanyData Scientist @ • Working with a number of mobile titles (Jelly Splash, Futurama, Monster World) on various platforms (iOS, Android). • Responsible for predictive modeling projects: in-game ad personalization, dynamic difficulty, churn prevention, buyer classification. • Designing experiments to measure new feature and content performance. • Applying user segmentation models to improve revenue and user engagement. From February 2013 to August 2015 (2 years 7 months) Data Analyst @ • Responsible for budgeting and forecasting within airBaltic group • Providing full range of marketing cost and revenue analysis (KPIs, monthly analysis and follow up on costs and revenues, deviations from the budget, forecast, last year results) • Providing key business metrics and trends to the management team • Evaluating key market drivers and consumer trends within the airline industry • Monthly and quarterly reporting • Providing presentations/analysis of airBaltic financial statements • Undertaking ad-hoc insight business cases From February 2012 to February 2013 (1 year 1 month) Business Analyst @ • Delivering weekly reports (variations in sales, pricing, market share, distribution, etc.); • Preparation of custom/individual presentations and category overviews, shopper trends, forecasts; giving presentations to food and drug manufacturers; • Leading training seminars and teaching sessions; • On-sight support (help desk) for Nielsen software users; • Development of product category overviews; • Private label market analysis Achievements: • Managed project of new database software deployment (Nielsen Answers) and launch of new overview templates for corporate customers. • Prepared and lead bi-monthly market research training sessions (introductory and advanced) for retailers and wholesalers. From 2010 to 2011 (1 year)

Postgraduate course, Data mining and knowledge discovery @ Maastricht University From 2013 to 2013 Bachelor of Science (BSc), Economics and Business Administration @ Stockholm School of Economics in Riga From 2009 to 2012 Bachelor of Science (BSc), Economics and Finance @ International Hellenic University From 2011 to 2011 Secondary @ Riga Secondary School N60 From 1997 to 2009 Maija Marinčenko is skilled in: R, SQL, Python, Statistics, Decision Trees, Machine Learning, Data Mining, Data Analysis, Regression Analysis, Bayesian methods