• Provide Business Intelligence Engineering Support as an Individual Contributor on behalf of Seller Central Analytics team to Customer Service By Amazon (CSBA) Seller Services, an SVP-level visibility Product.• Model, Develop, Implement, Test, Document, and Operate large-scale, high-volume, high-performance reporting data structures/pipelines on AWS, not excluding self-service Dashboards, Automated Data Marts to support 100+ Data Engineers, Software Engineers, Business Consumers and have reduced ad-hoc business data demands by 80% & supports realization of strategic business initiatives across the International Seller Services org.• Built a Central Product-specific Reporting KPI Repository, including standardized 60+ Seller Service/Product specific metrics & presented them across multiple automated business reviews/Dashboards using Advanced Excel, Tableau and AWS QuickSight consumed by more than 50+ Business customers - including Directors/VPs/SVP, across centralized teams, regional and partner teams.• Performed Seller Service-related Impact analyses using detailed analytical/statistical studies such as DSI (DownStream Impact) of negative amazon customer experience that estimated a Business Revenue entitlement, Revenue Uplift of Seller Enrollment using Synthetic twin control method, A/B testing of Product Experimentation using Bayesian Inference etc. that were presented to and reviewed by the Senior Leadership team and are used till date to drive GTM adoption/retention strategies + adoption goal setting by the Business Stakeholders.• Mentor Business/Data Analysts/Engineers across Amazon, and within the International Seller Services Org. Evaluate and make decisions around Seller Services Product dataset implementations modelled and proposed by Peer Engineers.

• Served as the Business/Functional Lead for the WW FP&A Prime Video Org’s reporting & ad-hoc needs. • Performed complex data research to identify new opportunities that improve data integrity and customer experience in supporting strategic business decision-making facilitated through ad-hoc reporting deep dives.• Built, Automated, Maintained High Visibility WW Daily Flash Dashboards on Tableau to monitor 30+ Customer Engagement metrics across Prime Video Business Streams, consumed by 50+ stakeholders, including VP of Amazon Studio/Finance.• Partnered with 10+ cross-functional teams, such as Prime Video Finance, Content Acquisition Analytics, WW Prime Video Marketing, Content Data Engineering teams to consolidate/standardize Prime Video Subscription/Content-related data & metrics under a Single Reporting Data platform.

Tools Used: Snowflake & MS-SQL Server for ad-hoc reporting and building Data marts, JIRA/Confluence for Documentation , PowerShell, a combination of Advanced Excel, Power BI and R for Data Analysis Reporting and Visualization.• Modelled and Built Data Marts in Snowflake Cloud Database that sourced critical High Visibility Power BI Dashboards to track the company’s Healthcare Client Network Engagement Metrics. • Served as a top POC for in-house Data Analytics projects.• Actively involved in several cross-functional set-ups with multiple teams such as Data Science, Operations, Data Warehouse, Product Marketing and Accounts.• Created Innovative Data Visualizations using Power BI and R used by the company for pitching client-related sales/marketing campaigns.

• Mentored a large cohort of experienced working professionals (80+) spread across America on various Data Analytics concepts and tools such as Advanced Microsoft Excel (VLOOKUP and Pivot), Statistics, Hypothesis Testing (A/B testing), Predictive Analytics, Regression Analysis, R (including Rshiny), Principal Component Analysis, Supervised and Unsupervised Learning, Data Wrangling, MySQL, Tableau.• Increased the efficiency of the aspiring analysts by 30% through innovative data-driven improvement mechanisms.• Supported Learners on their Analytics Capstone Projects, where they tie up with companies to solve real-life problems through data-driven solutions.• Provide 1:1 Interaction with aspiring analysts on Big Data R Projects and Database Modelling and Visualization Projects

• Worked on Teradata, Oracle, and SQL Server-based Databases(Source) and performed extensive SQL querying.• Performed ETL tasks using Informatica for the above Databases and mapped them onto SQL/Oracle Target Databases.• Additionally Modelled and Built OLAP Datasets (star-schema dimensional models) using Informatica.• Generated timely Ad-hoc Product Reports on OBIEE, SSRS Dashboards and Tableau.