seetha chandrasekar

I am an M.Tech graduate specialized in Computer Science and Engineering, with a robust foundation in Data Science and Big Data. My expertise includes building predictive models and deploying them in cloud environments, complemented by a passion for data visualization. I have practical experience addressing challenges in healthcare and finance, which has allowed me to make significant contributions to my field.

One of my key achievements includes improving processing speed by 30% through optimized Spark algorithms, as well as reducing healthcare monitoring costs by 20% through AI-based predictive analysis. I have also led the development of a Smart Healthcare Monitoring system using wearable IoT sensors integrated with deep learning techniques, which has enhanced early heart disease detection rates.

In my recent role as a Research Scholar in Data Science, I increased data-driven insights by 50% using Tableau dashboards. My collaborative work with multidisciplinary teams has resulted in a 20% improvement in early diagnosis rates, showcasing my ability to integrate AI solutions effectively in healthcare settings.