AuthorHarish Penuganthi

A results-oriented Data & Analytics Leader with 8+ years of experience empowering global organizations to unlock the full potential of their data. I specialize in driving value through end-to-end Data Management, Governance, Engineering, and Advanced Analytics initiatives—delivering solutions that are technology-agnostic, industry-agnostic, and outcome-focused. With deep expertise in MDM platforms (Informatica, Microsoft MDS, Stibo), Data Governance tools (Collibra, Informatica), and modern analytics stacks (Power BI, Looker, BigQuery, Python, ML/AI), I guide businesses through digital transformation by aligning data strategy with real business objectives. I thrive in dynamic environments—leading cross-functional teams, ensuring delivery excellence, and designing scalable architectures that are both cloud-native and future-ready. My hands-on experience spans cloud ecosystems (GCP, AWS, Azure), modern data platforms, and building ML-powered solutions that accelerate decision-making and operational efficiency. Whether it's modernizing BI landscapes, optimizing data pipelines, implementing governance frameworks, or building predictive models, my approach is always rooted in innovation, agility, and measurable business impact. I believe in transforming data into a strategic asset—enabling smarter, faster, and forward-thinking enterprises. Let’s build intelligent, data-driven futures—together.

May 22, 2025

Leveraging Machine Learning to Transform Financial Operations in Accounts Receivable

By Harish Penuganthi

In Big Data and Analytics, Machine Learning

May 22, 2025

4 Min read

22May

Introduction In today’s fast-paced business environment, companies increasingly rely on data-driven solutions to enhance financial efficiency and streamline operations. Accounts Receivable (AR) is a critical function, and optimizing its management can greatly enhance a company’s cash flow and..

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