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RAGHUNATH KAUSIK KADAYAM VISWANATHAN

Angestellt, Senior Manager, Business Insights, Wayfair
Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Analytics
Consulting
Strategy
People Management

Werdegang

Berufserfahrung von RAGHUNATH KAUSIK KADAYAM VISWANATHAN

  • Bis heute 7 Jahre und 4 Monate, seit März 2018

    Senior Manager, Business Insights

    Wayfair

    o Responsible for creating strategic roadmaps for the business and product o Identified opportunities to increase key business metrics and prioritized them working with cross-functional teams o Increased call center agent productivity through designing & analyzing pilot programs and rolling out successful ones o Defined metrics and built Tableau reports for usage by Sr. Leadership

  • 8 Monate, Juli 2017 - Feb. 2018

    Senior Engagement Manager

    Mu Sigma: Clients - Apple and Zappos

    o Led a team of data scientists/analysts/consultants and worked cross functionally with senior analytics leaders from clients o Responsible for meeting internal Mu Sigma revenue targets and customer-centric goals o Designed a recommender and targeting system for the next best action of a customer using ML algorithms empowered by business logic o Enhanced and drove adoption of a customer segmentation model for a leading shoe e-tailer

  • 1 Jahr und 5 Monate, Feb. 2016 - Juni 2017

    Engagement Manager

    Mu Sigma - Client: Nike

    o Transformed the client relationship by spearheading multiple strategic analytics solutions and building out long term analytics roadmap o Applied ML techniques, like CHAID decision trees and regression techniques to identify key contributors of surplus and deficit inventory o Created a customized solution of generating huddles of similar products to identify substitutable products for demand transference o Optimized a supply chain initiative leading to annual savings of $9MM

  • 3 Jahre und 7 Monate, Juli 2012 - Jan. 2016

    Sr. Analyst

    Mu Sigma - Clients: Microsoft, Walmart

    o Identified under-performing stores using clustering techniques and recommended strategies to improve their performance based on store attributes using predictive models like decision trees. Created automated dashboards and weekly reports using Tableau for business stakeholders, which increased adoption of recommendations and led to savings of > $1MM o Optimized search page layout and ad placement using multivariate A/B testing, analyzed lift and impact of treatments and recommended optimal layout.

  • 1 Jahr und 5 Monate, Feb. 2011 - Juni 2012

    Data Analyst

    Infinite Energy

    Created reports and insights on customer data by analyzing and identifying patterns and trends

Ausbildung von RAGHUNATH KAUSIK KADAYAM VISWANATHAN

  • 2 Jahre, Aug. 2009 - Juli 2011

    Industrial Engineering

    University of Florida

    Decision Support System Operations Research Probability and Statistics Web-based decision support system Digital Simulation Techniques Advanced Business Programming Supply Chain Management

Sprachen

  • Englisch

    Fließend

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