Teja Rasamsetti

Q: What is Teja Rasamsetti email address?

Email Teja Rasamsetti at tejaprasanth@yahoo.com and rasamsettit@dnb.com. This email is the most updated Teja Rasamsetti's email found in 2026.

Q: How to contact Teja Rasamsetti?

To contact Teja Rasamsetti send an email to tejaprasanth@yahoo.com or rasamsettit@dnb.com. (updated on August 26, 2024)

Data Scientist/ Machine learning Engineer at Fannie Mae | New York City Metropolitan Area

About Teja Rasamsetti

Teja Rasamsetti is a Principal Data Scientist at Dun & Bradstreet, where he leverages his extensive expertise in predictive analytics to drive strategic decision-making for businesses. With a passion for data-driven insights, Teja plays a pivotal role in ranking over 40 million U.S. businesses based on their commercial activity. This critical analysis not only helps prioritize marketing campaigns but also informs infrastructure planning for clients looking to optimize their outreach and resource allocation.

Teja's work involves developing sophisticated algorithms that assess delinquencies and credit risk among small businesses and corporations. By analyzing factors such as payment history, years in business, credit terms, and the diversity of credit offered, he provides actionable insights that empower organizations to make informed financial decisions. His proficiency in entity resolution allows him to integrate and reconcile data from multiple sources, ensuring that clients have a comprehensive view of their business landscape.

In addition to his technical acumen, which includes a strong command of Google Cloud Platform (GCP), deep learning, and machine learning, Teja's participation in Kaggle competitions has positioned him in the top 1% globally. This achievement underscores his commitment to continuous learning and innovation in the field of data science. With a blend of research and development skills, text analytics, and data analysis, Teja is not only a technical expert but also a skilled communicator, adept at translating complex data insights into strategic business recommendations. His unique combination of skills and experience makes him a valuable asset to Dun & Bradstreet and the broader data science community.

Teja Rasamsetti Work