Pradeep Muduli

Data & Decision Transformation Leader | Driving Business Outcomes through Analytics, AI & Process Optimization

Hyderabad, Telangana, India

About

I turn data complexity into business clarity — and have done so across Healthcare, FMCG, financial services, and analytics for over 20 years. As a Senior Business Advisor at IBM (10+ years), I've led analytics transformations that delivered measurable outcomes: a $40M reduction in bad debts through smarter collection strategy, a 29% lift in collection rates, and a 60% cut in data cycle times through automation. At IBM, I built a Sales Intelligence Dashboard on Cognos Analytics that became the nerve center for pipeline visibility and win-probability scoring — powered by machine learning segmentation models I developed from scratch. What makes me different: I don't just build models — I change how organizations think and act on data. I've spent my career bridging the gap between C-suite strategy and data science execution, leading cross-functional teams, defining KPI frameworks, and institutionalizing data-driven decision-making at scale. My sweet spot: Analytics Strategy · Decision Intelligence · Predictive Modelling · BI Transformation · AI Adoption Currently targeting Director / Head-level roles in Analytics, Data Strategy, and Business Intelligence — specifically within Pharma (Dr. Reddy's, Novartis, Aurobindo, Divis), FMCG (PepsiCo), and leading Analytics Services (Tiger Analytics, Mu Sigma, LatentView). Let's connect if you're building an analytics function that needs to move from reporting to real decision intelligence. PS: Open to: Director Analytics | Head BI | Analytics Transformation | Decision Intelligence roles

Experience

  • Associate Manager - Client Services at Symphony Marketing Solutions

    - Managed retail analytics delivery for US clients; achieved a 15% productivity improvement through structured task tracking and team workflow redesign. - Earned the Customer Appreciation Award for outstanding analytics service delivery.

  • Manager - Research & Analytics at IBM Global Process Services

    - $40M reduction in bad debts through analytics-led collection strategy redesign — the single largest financial impact initiative of my career. - Delivered a 29% improvement in collections performance by applying predictive segmentation to identify high-risk accounts and optimize outreach sequencing. - Applied DMAIC (Six Sigma) methodology to re-engineer the Ship-to-Bill cycle — compressing turnaround from 72 hours to under 24 hours (67% reduction). - Built an operations KPI dashboard that gave leadership real-time visibility into collections, workflow efficiency, and exception management.

  • Deputy Manager - Analytics at IMRB International

    - Delivered end-to-end analytics for diverse market research projects — from analytics design and data processing to insight generation and stakeholder presentation. - Trained and onboarded client teams on IMRB analytical tools, driving adoption and embedding analytics best practices.

  • Senior Business Advisor at IBM

    - Built and deployed a Sales Intelligence Dashboard (Cognos Analytics) that unified pipeline data across business units — delivering real-time win-probability scoring and reducing forecast error by ~35%. - Developed ML-driven sales segmentation models (clustering) that identified high-conversion opportunity clusters, directly lifting pipeline conversion rates. - Spearheaded cross-BU analytics standardization — defining integrated KPI frameworks, reporting metrics, and data governance standards aligned with IBM global standards. - Recognized with IBM Manager's Choice Awards for excellence in data-driven decision-making and measurable impact on business outcomes. - Facilitated analytics upskilling across sales and operations teams — embedding a data-first culture within a 500+ person business unit.

  • Head - Analytics at Icon Added Value

    - Led analytics team transformation — redesigned data workflows cutting entry cycle time by 60% and saving 50 man-hours/month through intelligent automation. - Diagnosed manual process inefficiencies and implemented automation solutions that materially reduced output error rates and improved SLA compliance.