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(2011 - 2011)
(2010 - 2010)
2023
2023
2016 - 2024
2020 - 2024
Building & enabling WWE fan journeys, fan growth marketing tactics through growth focused products such as WWE’s Customer Data Platform, Ad Tech, Martech products, data science & business intelligence products. - Leading UX and LTV optimization program (100+ experiments every quarter) - Bid optimizers and Ad ROI models (as Advertiser) that helped WWE maximize Ad ROI across digital properties of partners (incl. Google, YouTube) - Advertising Inventory Performance Engine (as Publisher) – Valuation of ad inventory within WWE’s content (Video, photo) and Digital properties. Optimizing self-promoting ads vs external ads – Supporting digital product development on WWE apps and WWE websites to capture all relevant fan interactions (Telemetry data ~1000s of interactions per fan) – Building and executing on WWE's roadmap of data products & data assets across media/content lifecycle (Linear TV, OTT, Digital, Social), ecommerce/ retail marketplaces, live events, advertising, sales partnerships & sponsorships, gaming, NFTs, Talent management & Brand – Developing and executing on WWE’s Machine Learning and AI strategy to support enterprise initiatives – Managing foundational data assets such as Data Lakes, Data Warehouse and Data marts – Securitizing data assets and complying with prevailing Data privacy regulations such as GDPR, CCPA - Led a team of 10 data scientists, analytics engineers and machine learning engineers responsible for building 20+ ML products for WWE's business units. - Built topic models, sentiment models and clustering models on real time twitter data that enabled insight generation related to voice of WWE fans. - Built viewership and monetization focused forecast models that drove actionable insights for finance and media teams - Built optimization models that enabled routing of Live events across the US
2016 - 2020
- Spearheading Leading the vision, roadmap development, implementation, and development of Data Strategy Roadmap working with data technology and insights & analytics teams - Supported WWE network revamp that involved migration of 2mm+ subscribers and 1000+ Live/VOD assets. Responsible for coordinating with 7 technology vendors across front end and back end stacks of website, app to ensure seamless transition - Collaborating with Analytics, Data Science, UX, Data Engineering, Data Architecture, and Program Management teams to develop, test, and deliver high-quality products and features that meet end users and internal business needs
2021 - 2022
2021 - 2022
Invested in 10+ deals across SAAS, Ecommerce, Logistics & Crypto space
2012 - 2020
2019 - 2020
Played head of data products, data science roles for our media, retail clients
2018 - 2018
2016 - 2017
2014 - 2015
2012 - 2014
> Developed predictive propensity cross sell models for a product portfolio mix for a leading retail bank in Asia Pacific Region -Assisted in improving the marketing strategies with the help of analytics’ derived marketing triggers. -Won the competitive pilot project for EXL service, and was also awarded the best project for second half of 2012. > Formulated pricing and marketing strategies for a leading global information services company -Identified customer segments with high product usage and high turn away count to up sell additional product licenses. -Analyzed discount rate distribution across multiple customer type segments to assess opportunity to increase prices and optimize price distribution across segments. -Recognized over $4MM in incremental revenue through price correction strategies, upsell opportunities and sales leads. > Assisted one of the Top 10 US credit card issuers to improve its Digital Acquisition through customized online marketing -Analyzed visitor journey on the website to identify response and product preference patterns. -Developed experience customization strategy through Optimal Acquisition Journey and Product Preference to improve onsite conversion. > Assisted one of the largest credit card issuers in the US to strategize its global marketing and branding -Analyzed the customer behavior with respect to engagement in client sponsored events like US open, PGA tour etc. -Identified target population segments adding incremental value to the client revenue after engagement in the sponsored events > Created a cost effective dynamic data warehouse for a leading global information services company - Built an on-going unified holistic view of customers, products on Amazon cloud, incorporating multiple client data sources. - Integrated the warehouse with a BI functionality to generate periodic reports, dashboards and analyze the data using filtering, summarization capabilities.