Maya Sengupta

Maya Sengupta is a Lead Data Strategist at Veridian News Analytics, bringing 14 years of extensive experience to the forefront of news data insights. She holds a Master of Science in Data Science from Carnegie Mellon University, where her thesis explored the impact of algorithmic curation on journalistic ethics. Maya specializes in the predictive modeling of news consumption trends, meticulously analyzing audience behavior, content virality, and the subtle shifts in public discourse. Her professional philosophy centers on empowering journalists and editors with actionable, data-driven intelligence to foster more informed and engaged communities. Before her tenure at Veridian, she significantly contributed to Global Press Innovations as a Senior Insights Analyst, developing a proprietary algorithm for real-time sentiment tracking across major news outlets. Her groundbreaking report, 'The Echo Chamber Effect: Quantifying Bias in Digital News Feeds,' remains a seminal work in the field. Readers can expect her articles to demystify complex data methodologies, offer strategic insights into news media's evolving landscape, and provide practical applications for leveraging data to enhance journalistic integrity and reach