Suyash Gandhi

CEO

New York, New York, United States13 yrs 4 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led product development initiatives across multiple teams.
  • Expert in optimizing customer journeys and data products.
  • Proven track record in maximizing ad ROI and analytics.
Stackforce AI infers this person is a seasoned leader in Media and Marketing Technology with expertise in data-driven product management.

Contact

Skills

Core Skills

Product ManagementData Science

Other Skills

Ad TechBig DataBusiness IntelligenceBusiness StrategyClient RelationsCustomer Data PlatformsData AnalysisData AnalyticsData WarehousingDigital MarketingDigital StrategyFinancial ModelingLinear RegressionLogistic RegressionMachine Learning

About

Seasoned leader, product manager, and technologist with over 10 years of experience specializing in Linear/digital / streaming media lifecycle, customer journeys, marketing technology stack, customer data platforms, data products across business intelligence/data science/ML & analytics engineering, ecommerce customer lifecycle - I currently serve as VP of products at WWE. In this role, I am responsible for building and executing WWE's growth focused as well as data science, business intelligence focused product roadmaps. I also support digital products (WWE app, WWE websites) team. My team includes growth product managers, data product managers, analytics/machine learning engineers, business intelligence analysts & data scientists spread across the U.S., China, the U.K., India. In this role, I have led product development/ transformation initiatives that span across engineering, technology, marketing and business teams. Powered by excellent organization and time management skills, I thrive on solving complex business problems, exceeding business goals and customer expectations. - In my prior experience, I have led fast paced consulting engagements with Media, Gaming & Retail clients across the US, the UK and APAC geographies. Worked with CXO / EVP/ SVP clients across multiple Fortune 500 clients in Media & Gaming industries to develop and enhance strategies on cross platform content ecosystem management, new content acquisition, VOD vs Linear optimization, content monetization, Ad inventory optimization, sponsorship ROI measurement, subscriber LTV optimization, digital marketing, UX personalization, SEO optimization and omni-channel customer management. Managed and mentored multiple teams of 50+ highly talented business analysts, data scientists, product managers and analytics engineers throughout the tenure.

Experience

Canela media

Vice President of Data

Dec 2023Present · 2 yrs 3 mos · New york

Hustle fund

Angel Investor

Jul 2021Feb 2022 · 7 mos · New Jersey, United States

  • Invested in 10+ deals across SAAS, Ecommerce, Logistics & Crypto space

Wwe

2 roles

Vice President Of Data Analytics, Product Management

Promoted

Nov 2020Jan 2024 · 3 yrs 2 mos · New York City Metropolitan Area

  • 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
Data ScienceBusiness IntelligenceProduct ManagementUser ExperienceMachine LearningData Analytics+3

Data, Analytics, Product Consultant

Nov 2016Nov 2020 · 4 yrs · New York City Metropolitan Area

  • 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

Exl

5 roles

Senior Assistant Vice President

Promoted

Jan 2019Nov 2020 · 1 yr 10 mos

  • Played head of data products, data science roles for our media, retail clients

Assistant Vice President

Promoted

Jan 2018Dec 2018 · 11 mos

Project Manager

Promoted

Jan 2016Dec 2017 · 1 yr 11 mos

Senior Consultant

Jul 2014Dec 2015 · 1 yr 5 mos

Consultant

Jul 2012Jun 2014 · 1 yr 11 mos

  • > 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.

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology (BTech) — Civil Engineering

Jan 2008Jan 2012

UNSW

Geotechnical Engineering

Jan 2011Jan 2011

Universidade de Coimbra

Structural Engineering

Jan 2010Jan 2010

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