Shreemithra Naveen

Dynamic Data Scientist with a proven track record in deploying cutting-edge AI and machine learning systems, along with expertise in natural language processing and predictive analytics. Proficient in Python, R, SQL, and TensorFlow, consistently delivering production-ready AI solutions that enhance decision-making and boost operational efficiency. Currently leveraging OpenAI APIs and NLP techniques to automate deadline extraction processes and optimize data management systems. Committed to driving innovation and excellence in data-driven environments.

IBM: Introduction to AI

• Community Lead - Kohort: Led student engagement and outreach campaigns, boosting participation by 40%.
• University Peer Mentor & Volunteer: Supported peers in Engineering coursework, Led data storytelling workshops.

Heart Failure Prediction Project – Achieved 2nd prize in a competitive research showcase for combining predictive analytics with practical healthcare applications, demonstrating both technical rigor and real-world impact.

IEEE Publications – Published two peer-reviewed research papers in IEEE conferences/journals, contributing to advancements in data science and applied machine learning. These works addressed challenges in predictive modeling, optimization, and decision support systems, strengthening both academic and professional expertise.