Dheeraj Velaga

From Data Chaos to Intelligent Insights: Engineering Reliable Data Science Systems

Abstract:

Modern organizations generate enormous volumes of data from applications, digital platforms, sensors, and user interactions. However, transforming this raw and often unstructured data into reliable insights remains one of the most significant challenges in modern data science.

This talk explores how engineering practices enable organizations to convert complex and fragmented data streams into meaningful intelligence. The presentation will examine the architecture of data-driven systems, including data pipelines, data quality management, scalable processing, and machine learning integration. It will also highlight the importance of monitoring, validation, and human oversight in ensuring that AI-driven insights remain trustworthy and actionable.

By combining practical software engineering principles with modern data science techniques, this session demonstrates how organizations can move from fragmented data environments toward reliable, intelligent systems that support better decision-making.

Profile:

 

Dheeraj Velaga is a Software Development Engineer at Capital One Financial and holds a master’s degree in computer science from University of Central Missouri. He specializes in enterprise platform engineering, ServiceNow development, and scalable full-stack system design.

Dheeraj has extensive experience developing enterprise solutions using the ServiceNow platform, with expertise in IT Service Management (ITSM), IT Operations Management (ITOM), Human Resources Service Delivery (HRSD), Asset Management, Service Catalog, Flow Designer, and custom application development. His work focuses on designing intelligent workflows and scalable systems that improve operational efficiency and streamline enterprise processes.

In addition to platform development, he builds cloud-native applications using Java, Spring Boot, JavaScript, and modern front-end technologies. His technical interests include API integrations, CI/CD automation, intelligent monitoring systems, and the engineering of reliable data-driven platforms that support enterprise digital transformation.