Jun 2022 – Sep 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

• Drive IPO readiness track for the accounting platform. Drive Monetisation Initiatives such as new fee types, seller pricing. Define what it takes to build a robust, scalable and compliant centralised financial platform product that caters to all stakeholders company wide. Successfully optimised Pre-MEC & Month end closure by CD3.
• Clean up past audit callouts owing to tech debts that resulted in Seller Clearing resulting in non clearance.
• Ensure timely payout and closure of books in check for compliance and audit.
• Implemented Nextgen IBL for timely and efficient dispatch of physical goods from warehouse in collaboration with the Warehouse team. This led to an operation efficiency of 99.999% and paved way for Paperless labelling ( QR based) which is first of it's kind in the market.
• Led GCP migration for Accounting Data to a timely cutover with minimal hiccups.
• Built an inventory valuation platform using Big Query based on Warehouse Management System attributes.
• Part of the IPO readiness leadership team. Lead & Influence multiple teams across domains for achieving IPO readiness goals.
• Designed a generic buyer fee as applicable for the Fee as A service platform centric model. Launched Cash on Delivery fee as a 1st step. This achieved 300 Cr. in monetisation in the 1st Quarter of launch.
• Make extrnalization an eventual end goal for the products that we build. This can be achieved by leveraging best in class tech and configurable components.

Sep 2020 – Apr 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India and San Francisco Bay Area ( Virtually)

• PM for the IDX SmartDocs (Document Comprehension) & Virtual Experience Platform (Appointments).
• Built a end to end experience by improvisation of the architecture and technology to deliver the evolving use-cases ( Live Expert and their customers).
• Document solutions integration for offerings leveraging internal and external capabilities (Vendors). Collaborate and influence two of the biggest engineering teams catering to areas of Document Management ( persist, classify, share, search and list) and Document Comprehension ( Doc Extraction and measurement of accuracy and coverage). Research and implement best practices to build a best in class platform. Enable self-service via a No-code/Low-code tool to transform unstructured data to structured entity for solving various use-cases.

Jun 2020 – Jul 2020 · 1 mo · United States

• Sales enablement decks and evangelize deep learning recommender systems including TAM analysis. Identify potential customers and their current limitations. Potential ROI from a multi GPU solution from NVIDIA Merlin the future of commercial complex deep learning.

Dec 2018 – Mar 2020 · 1 yr 3 mos · Mountain View, CA · On-site

• QB Capital is helping small businesses from it's Online and Desktop ecosystems get working capital. This is done by leveraging the rich data it already has on the platform. Responsibility involves end to end workflow from Data driven strategy, classification, user segmentation to conversion. It also involves deep domain, data and product knowledge to build a solution that drives revenue and risk mix across native and marketplace loan products

Jan 2017 – Aug 2018 · 1 yr 7 mos · Mountain View, California

• Strategy for Acquisition, Positioning, Growth & Monetization for Consumer Financial Planning.
• Solutions for Growth and Monetization based customer behavior & segmentation. Implementing best practices in ad tracking and optimization for Financial Management Products . Define & understand key KPI's that and early performance and health alerts. SME for Mint and help build similar infrastructure for evolving products along the same line (Turbo). Offer and Revenue optimization.

Jul 2016 – Jan 2017 · 6 mos · San Jose, California

• Identify key product improvements needed to achieve the defined goals on listing completeness and it's impact on revenue (vertical specific).
• Implement best practices on taxonomies alignment and Deep Dive into ML processes and tune algorithms to improve process. Recommend streamlining Key Metrics to reflect product and taxonomy changes.
• Defined steps to create a proxy method to define product recall and sample data for top viewed items to gauge the effectiveness of the existing model. Improved efficiency by 15-20% across 3 verticals.
• Refine processes for p-live, aspect fulfillment and BN Quality.
• Correlation between aspects fill rate and conversion/ASP. Analytically structuring Product pages, Browse Nodes for refinement and improvement.
• Aspect inference. Improve the process of auto tagging the right aspects to the inventory. This leads to better search results and higher conversion.
• Recommend the right refresh rate for Top 1M internal query and this led to relevant BN's getting generated based on user and market needs.

Jan 2015 – Jan 2016 · 1 yr

• Identified and resolved key under performing areas of PayPal within 16 weeks cycles. Complete end to end analytics and work with cross functional across platforms, domains and merchants/partners.
• Phase I : Customer On-boarding & Phase II : Checkout conversion. Funnel level tracking and joined behavioral data with engineering data to build an in depth view of customer experience. Designed A/B testing to convert known traffic into conversion/revenue. Partnered and closely worked with McKinsey to identify and highlight key improvement areas to leadership.

Aug 2013 – Jan 2015 · 1 yr 5 mos

• Architect, Build & Maintain a comprehensive financial institution database. Product line based view of every PayPal transaction to deep-dive the FI products and behavior of Customers based on the wallet distribution. Drive Analytics for different Products added to PayPal wallet.
• Revenue forecasting based on various factors. Enable targeted marketing for higher engagement and adoption of PayPal. Integrate interchange and assessment cost based metrics to derive take rate/revenue for the FI/card type/products. Drive actionable insights to enable partnerships (win all strategy).
• Pursued re-architecture of Global Core Payments card processing process to enable better analytics and reduce declines/fraud and increase user engagement and satisfaction.
• Researched on the science of evolving bins in the credit card industry & how issuers are using it to launch their products. Understanding of declines/adoption/spending based on card bins and types.
• Geo-Spatial cube to provide location based insights for Retail growth (PP Here). Provide location based marketing to both merchants and customers (proximity targeting). Understand activity/lifestyle.

Apr 2011 – Aug 2013 · 2 yrs 4 mos

• Built Next-Gen pricing platform and supported Pricing analytics during migration from MVM. Identified leakage and helped core Pricing team build an efficient platform resulting in speedy and accurate reporting.
• New Product Market Research and analytics on consumer sampling and response behavior.
• BSA supporting Marketing Initiatives and Social Media Integration.
• Web analytics for tracking customer data onsite, e-mail, SEO & SCM.
• Key player in Digital Wallet initiatives such as Discover merchant integration and other Demand Generation projects to take PayPal where other companies can only dream of reaching.
• Vendor evaluation and data integration with PayPal. Collaborate with all of Paypal with data insights. Provide near real-time insights to business and suggest best approaches by leveraging data to achieve their goals.
• Special interests include building social media tools to solve customer problems. Present product feedback to the developers & product managers.
• Data Mining & Text analytics to get sentiments that require attention. Aim to build a tool to bring customers closer to business via personalization in the social space.

Feb 2007 – Apr 2011 · 4 yrs 2 mos · San Jose, CA

• Marketing analytics and campaign reporting infrastructure (eCare) to enable optimum DR campaigns to maximize ROI through targeting.
• Part of team that architected and launched the first loyalty platform(eBay Bucks).
• Several key features were implemented after thorough study of existing best in class services. Recommended many features and provided feature support and infra guidelines for the rewards engine (including fraud rules).
• Implemented holiday price matching for eBay products against competitors.
• eBay Fashion Vault Campaign/Analytics support and CF based recommender systems for brand/products.
• Implemented eBay Motors recommendation engine (parts and accessories).

Oct 2006 – Jan 2007 · 3 mos · Columbus, Ohio, United States

• Marketing Database Engineer

May 2006 – Jan 2007 · 8 mos · Alpharetta, GA

• Enterprise wide Billing system Design and Modelling

Jan 2006 – May 2006 · 4 mos · Greater Memphis Area

• Part of the project to implement NextGen Fedex Pricing system for Merchants.

Jul 2005 – Dec 2005 · 5 mos · Greater New York City Area

• Create & Support Data Repository for Inventory Replenishment Management system.