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Dakshan RamachandranDR

Dakshan Ramachandran

Data Analytics & Digital Transformation

600 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Dakshan

  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

  • Tamoul

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Pernod Ricard HQ
    Digital Program Management & Deployment
    décembre 2023 - décembre 2025 (2 ans)
    Paris, France
    Led global deployment of Vista Rev-Up, an analytics and ML-powered pricing platform delivering retail and promotional elasticity insights to commercial and revenue management teams across global markets.
    • • Deployed Vista Rev-Up to 10 markets directly (of 27 total worldwide), onboarding ~50 primary users and 200–300 total users across commercial, marketing, and finance functions; impacted revenues in the mid-to-high nine-figure range (EUR).
    • • Led end-to-end deployment cycles of 4-5 months per market, covering scoping, data integration, user acceptance testing, training rollout, and post-launch adoption tracking.
    • • Partnered directly with data scientists on product design, feature selection, elasticity model validation, and ML driven promo optimization deployed across 5 markets.
    • • Piloted experimental GenAI use cases for global data mapping and pre-processing of inputs feeding into ML models, accelerating model-readiness and reducing manual data prep time.
    • • Delivered 100+ training sessions and workshops to user groups ranging from analysts to VP/Director-level leadership, driving sustained adoption and platform stickiness.
    • • Built and rolled out a lightweight Excel-based pricing module to extend elasticity capability into smaller markets with limited data infrastructure, broadening reach without additional engineering investment.
    • • Acted as primary consultant to VP- and Director-level RGM and Commercial leadership, providing best practices on deployment methodology, change management, data governance, and pricing strategy.
    • • Established deployment frameworks covering adoption monitoring, automated reporting dashboards, and process standardization - now used as templates for subsequent rollouts.
  • Independent
    Career Break - Self-Directed Upskilling (Digital & Analytics Pivot)
    juillet 2022 - novembre 2023 (1 an et 4 mois)
    Paris, France
    • • Completed covering C, Python, SQL, Flask, and web development
    • • Completed covering HTML/CSS/JS, and control.
    • • Pivoted skill set from commercial/RGM toward digital, analytics, and product deployment in preparation for Digital program management roles.
  • AB InBev France
    Revenue Manager (On-Trade France)
    juillet 2021 - juin 2022 (11 mois)
    Lille, France
    • • Built and deployed two RGM digital tools (POC Discount Optimization tool and On-Invoice tool) for field sales teams, accelerating stock-at-risk sell-through and reducing inventory exposure nationwide.
    • • Led strategy and development of the 2022 French 1-Year Plan and €60M budget, including country and brand P&Ls, discount allocation, and a 7% annual price increase - the largest in the history of the French business.
    • • Repositioned price architecture across the on-trade portfolio in alignment with brand strategy and competitive benchmarks.
    • • Conducted Rate & Mix analyses to pilot sales strategy execution, communicating insights to country leadership and BU stakeholders.

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Formations

  • Meta Frontend Developer Professional Certificate
    Harvard University
    Meta Frontend Developer Professional Certificate
  • Master in Management
    ESSEC Business School
    2019
    Master in Management

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