Andrey Novikov

Led data for office + payments pods of Pathfinder, DoorDash’s merchant POS platform and one of the core systems merchants rely on to run their business. Told product what needs to be built based on data. Defined metrics, ran experiments, built data and prediction models.

Senior DS owning user motivation and lifecycle at Brilliant. Built the retention and engagement engine - the metrics and experiments behind why learners keep coming back.

• Fully responsible for experiments' design and calculation (A/B) targeting various product metrics. • Decreased average time for A/B test from 2.5 weeks to 1 week by using statistical methods to decrease the sample size required for each test. • Fully responsible for creating and managing a set of key product metrics and KPIs focusing on monetization and retention metrics. Collaborated with different product teams to keep it up to date in accordance with the company’s strategy and direction. • Increased MRR by 233% by leading a cross-functional product growth group to identify growth opportunities in company’s products. • Built numerous (>100) extensive and simple to read dashboards using Tableau and Google Data Studio to inform product teams on relevant product metrics/KPIs and speed up data-driven decision process. • Hired, managed and coached junior data analysts. Created tasks, controlled execution and composed more than 20 interactive tutorials and guidelines on department tools and best practices. to speed up onboarding process for newcomers. • Increased company’s revenue by $85,000 QoQ by creating LTV prediction model for all company's subscription-based products using Python and BigQuery. Improved it significantly over time reaching 86.3% prediction accuracy. • Introduced new user segmentation model based on 70 different metrics and characteristics to provide product team with actionable insights which significantly impacted product development roadmap.

• Increased conversion to purchase rate inside the product by 3.4% by designing and conducting more than 100 A/B experiments. • Built reporting framework for the company's products to monitor and analyse all key metrics using dashboards, automated reports and alerts

• Increased ARPU by 20% by creating reporting system which connected different data sources which led to discovery of growth possibilities. • Increased key metrics significantly (7 Day Retention by 16% Conversion by 1.3%, Average Session Time by 3.5 minutes) by testing numerous product hypotheses. • Increased ROI of Google Ads campaigns from -48% to 88% by behavior analysis of different user cohorts inside the game.

• Responsible for the development and implementation of kitchen market research which changed exterior characteristic of a future product. • Increased CR to Purchase on website by 3.4% by reorganising product description on BSH website.

Exchange student for 2015/2016 winter semester in Duisburg university