Rakesh Dhara

GTM Analytics | Revenue Strategy | AI-enabled Growth

Toronto3k followers
LatentView Analyticsex-Oriumex-Jio

Drive GTM strategy through analytics, with experience across pipeline growth, attribution, and customer acquisition at enterprise and hyper-growth scale.

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Focused on improving GTM prioritisation, revenue visibility, and marketing investment decisions through analytics and AI-enabled workflows (Claude, Databricks Genie). Selected impact: Increased qualified conversion 6% → 6% (10x) Improved high-value targeting recall 14% → 36% Built executive engagement framework driving 3x conversion uplift Supported GTM scale-up during 100M+ user growth phase Partner across Marketing, Sales, RevOps, and leadership teams to translate analytics into business and revenue impact.

Career Timeline

JobSchool

GTM Index

  1. LATENTVIEW ANALYTICSJOB
    1. Lead, GTM Data Science & A…
      1Y 9M
  2. AMSON IMMIGRATIONJOB
    1. Sr Data Scientist, Mktg An…
      2Y 11M
  3. ORIUMJOB
    1. Sr Data Scientist, Product…
      1Y 11M
  4. BOND BRAND LOYALTYJOB
    1. Consultant, Mktg Analytics
      2Y 11M
  5. JIOJOB
    1. Mgr, GTM Strategy & Mktg A…
      4Y 11M

Time in market 12Y 9MOpen 5Closed 4Stints 9

gtmindex.io/p/dhararakesh

  1. Job: Orium — Sr Data Scientist, Product Analytics · 2022 – 2023 · 1y — Led customer and product analytics initiatives for retail clients, improving customer engagement, conversion, and experience optimisation. Key contributions: - Analysed customer behaviour and purchase patterns to support product, customer, and marketing decisions - Designed experimentation frameworks to evaluate product features and customer engagement initiatives - Built segmentation and personalisation models to improve targeting, engagement, and conversion - Delivered analytics-driven recommendations to technical, product, and business stakeholders
  2. Job: Jio — Manager, GTM Strategy & Marketing Analytics · 2014 – 2018 · 4y — Led marketing strategy, GTM execution, and analytics during rapid national expansion and hyper-growth scale-up. Key contributions: - Supported customer acquisition strategy during growth to 100M+ users in 6 months - Led GTM strategy for key product launches (including JioPhone), driving adoption across priority customer segments - Identified growth opportunities through market and competitive analysis across telecom and device categories - Optimised distribution strategy across 600,000+ villages, enabling national last-mile reach
  3. Job: LatentView Analytics — Lead, GTM Data Science & Analytics · 2025 – present · 1y 7mo — Client: Databricks (100%). Driving GTM analytics focused on pipeline performance, attribution, revenue visibility, and AI-enabled decisioning at enterprise and hyper-growth scale (100M+ users). Focused on improving pipeline quality, prioritisation, and marketing investment decisions through attribution, account-level analytics, experimentation, and performance measurement. Key contributions: - Increased qualified conversion 0.6% → 6% (10x) via global scoring and prioritisation redesign - Improved high-value account identification recall 14% → 36%, enabling more targeted GTM investment - Built executive engagement framework adopted as a GTM KPI, driving 3x conversion uplift - Led evolutio…
  4. Job: Amson Immigration — Sr Data Scientist, Marketing Analytics · 2023 – 2025 · 2y — Led analytics-driven customer acquisition and GTM optimisation in a startup environment, improving conversion, targeting efficiency, and funnel performance. Key contributions: - Supported acquisition strategy across paid, organic, email, and web channels through analytics and performance measurement - Led experimentation initiatives to improve conversion and engagement across the customer funnel - Built segmentation and targeting frameworks to identify high-value users and improve acquisition efficiency - Improved lead quality and campaign performance through analytics, experimentation, and cross-functional collaboration
  5. Job: Bond Brand Loyalty — Consultant, Marketing Analytics · 2020 – 2022 · 2y — Delivered marketing analytics and customer engagement strategy for financial services and retail clients. Key contributions: - Led analytics for marketing campaigns and engagement programs, improving targeting, personalisation, and acquisition performance - Developed propensity and segmentation models to improve targeting effectiveness and campaign outcomes - Designed experimentation frameworks (A/B testing, uplift modelling) to measure incremental marketing impact - Built proprietary Share Shift Validation framework to quantify promotional impact on revenue and transaction metrics
  6. School: Indian Institute of Management, Calcutta — Master of Business Administration - MBA, Business Administration and Management, General
  7. School: Smith School of Business at Queen's University — Master's in Management Analytics
  8. School: Birla Institute Of Technology and Science, Pilani Dubai — B.E. (Hons.), Computer Science
  9. School: Ramaiah IIT Study Circle

Skills

Applied AIAI for BusinessPredictive ModelingPersonalizationUplift ModelingCustomer Behaviour AnalysisMarketing AnalyticsGrowth AnalyticsGTM StrategyMarketing StrategyCustomer AcquisitionFunnel OptimizationLead ScoringCustomer SegmentationExperimentationA/B TestingMarketing AttributionProduct AnalyticsBusiness StrategyCustomer Lifecycle Management

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