Act as an ambassador between the Product, Engineering, and Ads Insights team to empower Insights team with tools and resource to effectively move insights across continuum - develop new insights, validate those and scale the most effective one to all advertisers.Present insight and recommendations to C-suite of top largest advertisers in Home and Floorcare.Lead and define Full Funnel Measurement strategy for top Amazon advertisers in Home, and Floorcare.

1. With years of experience in various industries, Rahul specialize in providing valuable insights and strategic guidance to help top Home, Furniture, Kitchen, Floor care, Outdoor, and Home Improvements advertisers achieve their goals and drive growth on and off-Amazon. 2. Rahul is sought after by stakeholders for his ability to communicate, influence advertisers, and impact revenue. Notably, Rahul has presented actionable insights to C-suite of 20+ advertisers and received praised from advertisers for his storytelling skills.3. Rahul developed and presented the Streaming TV (STV) ads challenger sales narrative that used both 3rd and 1st party data, as well as measurement capabilities to 9 advertisers that helped unlock $3.3MM in STV budget (4 first-time STV investors, +50.17% YoY for renewals). This supported the Sales leadership initiative to drive adoption of Streaming TV ads among LCS advertisers. 4. Rahul developed and automated narrative based on Life Event Insights that helped unlock $1.5M (direct) and $18MM (indirectly) ad revenues. 5. Rahul has taken the lead on key programs and initiatives. - He lead an insights program aimed to prototype, automate, and ultimately scale innovative solutions to 10K+ advertisers. In 2022 the program saved 16K hours thru automation and influenced millions of ad dollar revenue.- He successfully piloted and launched team’s Scrum project management mechanism, which increased the delivery speed of insights and vertical coverage by 37% YoY without growing headcount.

A trusted advisor to Marketing, Partnership, and Product-Growth team to translate their business problems into data & ML-led transformation strategies and to deliver programs of enterprise scale. Focused on driving top-line & bottom-line revenue through experimentation. o Program manage A/B and multivariate testing that involves indirectly managing 4 analysts. Support ab testing practice - test design, sample size, and post-test analysis- as an ongoing discipline to drive continuous improvement of AA Producto Leverage data to grow marketing ROI, assess acquisition and campaign effectiveness, test customized marketing and advertising experiences, increase customer retention and calculate customer lifetime valueo Drive projects focusing on new user growth, app usage, and revenue - working closely with Growth, product, and marketing teams. o Drive projects focusing on AA Churn management - working closely with marketing, product, and data teams. At-Risk model helped improved bottom line revenue (LTV) by ~1%o Make a business case to the Product and FP&A team for launching the Annual plan on 3rd billing partners, leveraging customer data, research & analytics. Ab tested the impact of launcho Assist Senior Marketing Manager in designing comprehensive CRM lifecycle contact strategyo Partner with cross-functional partners – FP&A & Marketing team and designed a white box framework to estimate LTV of Free TVE CBS app and CBS AA Subscription. Make recommendations for optimizing the CPA target of acquisition campaignso Helped Product team to make crucial decisions on the overall UI and product flow across all platforms through Content discovery analysis

1. Led the engagement with one of key client (Fortune 100 Company) managing delivery of different marketing analytics project.2. Helped influence the strategic direction of my client by recommending different scenario based Global marketing budgets to achieve fiscal taregts and provided break-up of spend across different marketing levers viz ATL, Performance Marketing and offers for PC and Tablet category.3. Analyzed the impact/ROI of marketing investment made through sponsorship of a major American sports event: Developed a 2-stage attribution model that uses a regression based technique as well as machine learning technique Bayesian belief network to understand the impact of online and offline paid media as well as earned media on driving sales. Also, provided recommendation on:I. Is it worth investing in the sports event?II. Which media channel has higher ROI?III. What is the right level of media investment for maximum ROI?4. Co-authored a white paper which has been selected for ARF conference-2015 on a novel approach in Marketing analytics “Spending your Marketing Dollars Wisely: demystifying how multiple media channels work together” with my client.5. Analyzed the impact of different Digital media channels like Video ads, Display ads, Paid social and Paid Search on driving sales using regression based attribution model. Used the model output along with response curve to optimize the spend across these different digital media channels.

1. Leading the engagement with one of our key client (Fortune 100 company)2. Planning of global marketing budget (+1 Billion dollars) for two products across different geos (US/WE/APAC) by recommending (best/realistic/worst case scenario) marketing spend needed to achieve revenue target for the next fiscal year,and the final presentation was presented to C-level audience3. Optimized the planned marketing budget for maximizing media return (Higher ROI)4. Provided actionable insights by analyzing the impact of newly launched product on sales and also the impact of new creative ad spot on sales using market mix model5. Executed different marketing model to study the impact of marketing campaigns (online and offline channel), promotions, pricing, competitive activities and macroeconomic factors on sales of different consumer end products across different markets6. Used new innovative approach Cross media analysis to study the direct and indirect impact (through earned media) of paid media channel on product sales7. Provided a holistic solution to the client which will help them monitor and exploit the interaction of media, promotions, price, competition and other macroeconomic factors8. Developed an integrated Dashboard in Spotfire that gives a detailed overview of the sales performance (KPI)of product category in US that helped different Business Groups to understand the market trends

1. Designed and developed an R Package RDIDQ http://cran.r-project.org/web/packages/RDIDQ/index.html which provide functions for performing extrapolative data analysis2. Automated the entire post launch analysis from data extraction till generation of Excel report for one of my project by creating SQL procedures and using VBA3. Worked on several analysis to identify different KPIs that affect the performance of all five Business Lines by running SQL queries4. Identified Retailers among Distributors in Latin America region by performing K-means clustering