Vaibhav Ravinutala

Data Engineer | Researcher

Vanderbilt University TV News Archive

Vaibhav Ravinutala

About Me

I am a Data Engineer at the Vanderbilt TV News Archive, specializing in the integration of data engineering, technology, and digital media. My technical expertise includes Python, SQL, AWS, Databricks and Spark.

I design and implement scalable data pipelines, automate workflows, and transform complex datasets into actionable insights. My work focuses on leveraging advanced analytics and machine learning to support data-driven decision making.

With a strong background in statistics and artificial intelligence, I am engaged in projects involving media reaserch, machine learning, deep learning, natural language processing, computer vision, and digital preservation. I welcome opportunities for collaboration and knowledge exchange.

Ongoing Projects

In Progress

AI-Enhanced Metadata Curation for TV News Archive

Developing an AI-powered pipeline using Databricks and NLP to automate metadata enrichment and quality assurance for over 1.5 million historical broadcast records at the Vanderbilt Television News Archive.

Python Databricks NLP AWS
In Progress

Sentiment Analysis of Broadcast Media

Applying computational methods to analyze sentiment trends and media narratives across decades of televised news content, leveraging large-scale data engineering pipelines and machine learning models.

Machine Learning NLP PySpark Data Engineering
In Progress

Digital Preservation & Data Governance Framework

Designing and implementing a comprehensive data governance framework to ensure long-term digital preservation, metadata standards compliance (Dublin Core, PBCore), and ethical access to archival media collections.

Data Governance Dublin Core PBCore AWS Aurora