Aashish Singh Email and Phone Number

+ Analyze and interpret data, define viewership patterns and growth metrics, and deliver compelling strategy recommendations based on quantitative and qualitative analysis.+ Identify opportunities across regions, verticals, and teams that help our managed partners (creators, artists and media companies) thrive on YouTube.+ Develop impact studies using test and control groups(A/B Testing) in order to prove out program effectiveness and incremental impact.+ Deliver briefing materials for decision making forums with senior executives, with the goal of helping leaders understand business challenges and opportunities and driving alignment towards key actions.

Help drive $XX billion ARR YouTube business and transform platform business by providing product growth analysis and highlighting critical insights and analysis to drive Google’s commercial business strategy for brand x performance-driven advertisers+ Perform end to end product analysis ranging from market segmentation, lead generation, adoption tracking, incremental A/B tested deployment to growth analysis+Execute sophisticated quantitative analyses and advanced modeling that translate data into actionable insights

+Analyze and determine key insights from key business drivers, competitive environment, trends and operating metrics+Execute sophisticated quantitative analyses and advanced modeling that translate data into actionable insights+ Be an expert on YouTube products and function as a business partner for cross-functional projects and initiatives, liaising across Product, Marketing, Regional Go-to-Market, Technical Support, and Sales Finance+Communicate initiative findings to senior leadership by preparing polished presentations and identifying key takeaways

+ Design, develop and support data warehouses, dashboards and reporting tools for operational and business impact data+ Develop and enhance data pipelines, workflows and queries based on large data sets+ Write extract, transform and loads (ETL) to automate routine data collection and reporting processes using a variety of traditional as well as large-scale distributed data systems+ Work on predictive modeling, natural language processing and text analysis for custom based and scalable product solutions which help stakeholder take strategic and operational decisions

+ Enabled clients translate their business requirements into detailed analytical requirements and help implement data driven decision by providing actionable insights and recommendations+ Developed scalable and robust predictive model in order to identify drugs that were most likely to see price increase in a 30/60/90 days frame + Implemented and modified Test and Learn methodology used for event measurement+ Drove a POC for an unexplored sector of 'Video Analytics' in-order to measure wait-time of a customer at a multi-chain retail store by harnessing the power of Python and OpenCV+ Mentored and trained 10+ new recruits on R as well as led a team of 10 members in formulating more than 150 business problems across multiple verticals such as Retail, Technology, Entertainment, Airlines and Energy