Revanth Damisetty

Edison Engineer @GE HealthCare

Ithaca, NY, US
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+91 *********19

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WORK HISTORY

Aug 2024 — Present

Edison Engineer @GE HealthCare

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Bengaluru, IN

As an Edison Engineer in GE Healthcare\'s Edison Engineering Development Program, I am part of a unique opportunity to develop cutting-edge healthcare technology solutions. My role involves collaborating with cross-functional teams to enhance diagnostic tools and systems, focusing on innovation and improving efficiency through data-driven insights. Through technical rotations, hands-on projects, and continuous learning, I am gaining invaluable experience in problem-solving, technical development, and industry best practices, contributing to advancements in healthcare technology.

EDUCATION

N/A

Cornell University

Master of Professional Studies

2020 — 2024

Amrita Vishwa Vidyapeetham

Bachelor of Technology - BTech

ABOUT REVANTH DAMISETTY

Hi, I’m Revanth Damisetty, an aspiring Data Scientist and incoming graduate student in the MPS in Applied Statistics – Data Science program at Cornell University. With a strong academic foundation and hands-on experience in data-driven projects, I am passionate about leveraging data science and AI to solve real-world problems and deliver actionable insights. I hold a B.Tech in Computer and Communication Engineering from Amrita Vishwa Vidyapeetham, graduating with First Class with Distinction and securing the 3rd Rank in my program. During my time at GE HealthCare as an Edison Engineer, I contributed to impactful healthcare solutions while building robust skills in MLOps, data pipelines, and model development. 🧠 My technical toolkit includes: Languages & Tools: Python (5 Hackerrank), C, Java, SQL (4 Hackerrank), TensorFlow, Scikit-learn Domains: Machine Learning, Deep Learning, RAG Architecture, Generative AI Certifications: Machine Learning Specialization by Stanford, Generative AI by IBM, Google’s Python Crash Course Projects of note: Tamil Sign Language Recognition System – A mobile-integrated AI solution using scalable pipelines Drone Collision Avoidance System – Real-time path correction using proximity sensor data Cyber Threat Detection with ML – Published research on anomaly-based network traffic analysis Beyond the tech: I’ve led several initiatives as a student coordinator, including financial literacy drives and university-wide tech festivals. I’m a proactive communicator, team collaborator, and deeply value interdisciplinary innovation. 🤝 I’m always excited to connect with professionals, researchers, and innovators in the fields of Data Science, ML, AI, and Healthcare Tech. Let’s collaborate, exchange ideas, and shape the future of intelligent systems — feel free to reach out!

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