Liju Varghese

Analyzing historical performance data to offer valuable insights, forecasting demand and sales for effective demand planning, conducting market research to report on competitor activities, identifying business development prospects and executing client acquisition strategies, facilitate the development of a strategic marketing plan.

This role involved leading the development and delivery of analytics, AI, and machine learning solutions for various business units, overseeing enterprise-level AI implementation for next-best-offer strategies, executing optimized marketing campaigns to boost revenue, automating recurring campaigns through AI-integrated communication channels, and continuously capturing response feedback to refine future campaigns.

This role encompassed designing comprehensive business solution blueprints, overseeing the development and execution of analytics processes and frameworks, presenting results to gain leadership and business approvals, collaborating with IT/Dev Ops for seamless implementation, continuously monitoring and assessing impacts, strategizing for future engagements with business units, and efficiently managing the team's day-to-day operations and staffing needs

Key responsibilities included client collaboration to understand needs, proposing analytics methods and financial benefits, reviewing team-built models for insights, presenting outcomes to stakeholders, and managing team and staffing.

In this role, duties encompassed understanding global clients' business challenges and analytics expectations, presenting analytics strategies and financial benefits, leading the analytics team in model construction, communicating findings to business stakeholders, and efficiently overseeing team management and staffing.

In this role, responsibilities included collaborating with US clients to grasp their needs and expectations, suggesting analytics approaches and outlining financial advantages, reviewing team-generated models and offering essential insights, presenting results to business stakeholders, and effectively overseeing team management and staffing requirements.

Tasks involved setting up an analytical data mart in SPSS, performing thorough customer segmentation and profiling through methods like clustering and visualization, and building statistical scoring systems while creating a decision engine using a combination of SPSS and an Excel-based interface.