Abhinav Singh Email & Phone Number

Bengaluru, Ka, In

London, London, Gb

London, London, Gb

San Francisco, California, Us

Working with Data Platform and Data Engineering teams to build a scalable data ecosystem that enables data to be at the heart of every decision we make at DoorDashPrograms:- Data Operational Excellence: Leading data cloud cost efficiency initiatives in collaboration with finance, data and analytics to drive cost optimization efforts- Data Governance: Data catalog & lineage tracking platform at DoorDash using to accelerate discovery, validation & tracking of data across multiple sources & surfaces- Company Performance Metrics: A centralized metrics suite for fast, reliable, efficient & scalable data driven decision making in collaboration with BI/Data Engineers,Strategy & Finance- Growth & Customer Platform Personalization: Realtime customer segmentation and personalization platform to power delightful experiences for DoorDash users

Remote First, Us

- Product Metrics: Driving development & alignment of key performance metrics for all products- Monthly/Quarterly Financial Reporting: Driving Monthly/Quarterly financial reporting in collaboration with Product, Investor Relations, Legal and FP&A- System Refactoring: Managing workflow/metrics migration to newer system architecture - Data Compliance: Supporting Data Science teams build and implement a long-term capability to comply with global privacy regulations to protect User Data- Resource Efficiency: Optimizing Snowflake compute costs to bring $xM in savings through pipeline deletion, query optimization & advocating for best practices- OKR Planning: Leading end to end quarterly planning cycles for Data Science teams in collaboration and coordination with 10+ Data Science & Product Management teams

Mountain View, Ca, Us

◙ YouTube Shorts | Nov 2021 - Feb 2022• Managed Shorts Core Infrastructure reliability projects in partnership with engineering, product management teams to build faster, efficient, scalable infrastructure powering Shorts core features & growth• Involved in product roadmap creation, OKR planning, metrics development across all the verticals within the Shorts ecosystem• Partnered with cross functional partners to ensure smooth launches of highly critical features through experiment, launch, leadership reviews• Responsible for increasing engineering efficiency, establishing SOPs & building team culture◙ YouTube Data Engineering | Jan 2020 - Nov 2021-Owned & managed YouTube Data Resource Efficiency initiatives to optimize compute, storage & network costs ($XXM)-Led CSAT program for YouTube Data from creation of the survey instrument to feedback gathering in an effort to help product teams understand what's working well & what's not for users-Operationalized privacy & access management for data tables owned & supported by YouTube Data Warehouse-Managed YouTube’s Data Warehouse access, reliability and hygiene with best practices as they relate to alerting/monitoring -Established operational & system metrics reporting systems for leadership to assess performance against SLOs-Provided program manager support in collaboration with the broader team to develop data pipelines for new product feature launches-Onboarded/Mentored more than 1000 new Googlers through weekly orientation sessions as a community contribution effort

Mountain View, Ca, Us

Designed, built, launched, optimized, and extended full-stack data and business intelligence solutions for Supply, Demand and Allocation planningDeveloped metrics suite for Collaborative Planning, Forecasting & Replenishment (CPFR) conversation with Google’s key business partners around the world Collaborated with regional and global planning stakeholders and ensured our analytical tools meet constantly evolving business requirementsExtended the findings from creative analysis to the recommendation of process development and improvementIdentified manual processes that could benefit from automation, built solutions that replaced these with elegant and accurate systemsPlayed an active role in developing the culture of the team, promoting collaboration and knowledge sharing

Mountain View, Ca, Us

Performed complex data analyses to derive insights that helped identify and fight abuse across Google’s Play, Hardware, Shopping, GPay & Cloud products involving paymentsLed end to end development of operational metrics platform to drive efficiency & enhance decision making processesWorked in collaboration with Vendor Operations & Tools Engineering teams to migrate an internal CRM platform for better agent experience Defined false positive metrics for risk engine’s machine learning model to ensure good customers have a good experience on Google Payments platformEstablished user contact metrics for newly introduced refund & account hijacking contact flows on Google PaymentsEnhanced our operational workflows via process improvements and identification of automation opportunitiesImproved tools through data analysis, technical expertise, and presentations to key stakeholdersConducted investigations, enforced our product policies, and identified product vulnerabilities

Mountain View, Ca, Us

Led end-to-end analysis to re-define user experience policies, fix bugs in the risk engine model & suggested threshold changes to effectively rescuing more than 600 thousand users generating millions of dollars in revenue for GoogleDesigned a centralized suite of metrics for weekly & monthly executive reportingDeveloped CSAT (Customer Satisfaction) tracking processes using Sentiment Analysis (NLP), Google Cloud translation API to streamline operations, augment customer engagement and provide effective resolution Formalized alerting framework for monitoring chargeback notifications from major card processors effectively saving Google from getting penalized

Berkeley Heights, Nj, Us

Analyzed pharmaceutical data to derive business insights pertaining to a new product’s launch and created key performance indicators/metrics to evaluate revenue growthConducted analysis on patient level data to identify key market segments for promotion of drugs and market opportunity for existing drugs using SAS and SQLFacilitated budgeting of two highly critical brands for the account by reporting & monitoring KPIs and forecasting market share and growth metricsDeveloped NPP strategy for boosting sales through HCP prescriptions for a critical pharmaceutical brandSupported a $4 million pharmaceutical account with analytics to explore business risks and opportunities Executed analysis pertaining to brand marketing and sales strategy for growth hematology- oncology brandsWorked on Specialty Pharmacy data cleanup to define new metrics and establish use of SP data for monitoring brand performance and gain insights for business development

University Park, Pa, Us

• Conducted research pertaining to natural language processing/ text mining on customer reviews from online product data streams. • Analyzed Google Play Store to identify key game design elements that have an impact on a game’s success or failure using Machine Learning techniques. • Analyzed twitter data pertaining to a top selling phone brand using sentiment analysis to investigate heterogeneity of product feature preferences.

Columbus, Indiana, Us

• Facilitated management of a reliability program across the life of the new product development cycle, including the planning, implementing, tracking, reporting, and closure of the reliability program.• Analyzed engine components through life data analysis to understand life of engine components and reduce total cost of ownership for the customer. • Developed a Business Intelligence tool to assist Synchronized Business Planning periodic reviews using relational database management concepts and tools like Microsoft Business Intelligence, Visual Studio, SQL Server Management.• Assisted High Horse Power Reliability Department in developing new products through analysis of warranty claims, failure data and assisted design, product validation engineers.

Master Of Science - Ms, Computer Science

Master'S Degree, Industrial Engineering

Bachelor'S Degree, Industrial Engineering