Sayan Chaudhuri
@sayanchaudhuri
Data Scientist skilled in Sci-ML, CV, LLMs; filed global patent; deployed RAG chatbots on Azure.
What I'm looking for
I am a highly skilled Data Scientist with expertise in Python, deep learning, reinforcement learning, and computer vision. I have experience in building RAG chatbots and deploying web apps to enhance efficiency. I have filed a global patent on battery cooling using scientific deep learning and have proficiency in end-to-end project leadership and cloud deployment with hands-on Microsoft Azure experience.
As a Data Scientist at Mercedes-Benz Research and Development India, I have developed and patented AI-driven Physics-Informed Neural Networks (PINNs) to optimize battery cooling systems. I have also implemented advanced anomaly detection models using Temporal Convolutional Networks (TCNs) and Variational Autoencoders (VAEs), which improved system reliability by 2.7% and provided actionable insights through large-scale data analysis.
I have a strong educational background, with a Master of Technology in Aerospace Engineering from the Indian Institute of Science, Bangalore, and a Bachelor of Technology in Electrical Engineering from Birsa Institute of Technology, Sindri. I have also completed various certifications, including Microsoft Certified: Azure Fundamentals, Deep Learning Specialization, and Machine Learning with Python-From Linear Models to Deep Learning.
Experience
Work history, roles, and key accomplishments
Data Scientist
Mercedes-Benz Research and Development India
Aug 2023 - Present (1 year 11 months)
As a Data Scientist, I developed patented AI-driven Physics-Informed Neural Networks to optimize battery cooling systems. I implemented advanced anomaly detection models and designed LLM-based AI assistants for various applications. My role involved building scalable ML architectures and mentoring external consultants on project alignment.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Science
Master of Technology, Aerospace Engineering
Grade: CGPA - 8.4/10
Master of Technology in Aerospace Engineering, focusing on Computing for AI and ML, Numerical Optimization, Robotic Perception, Statistics, Data Analytics, and ML for Signal Processing.
Birsa Institute of Technology
Bachelor of Technology, Electrical Engineering
Grade: CGPA - 8.04/10
Bachelor of Technology in Electrical Engineering, covering Advanced Mathematics, Soft Computing Techniques, Analog and Digital Electronics, Data Structure and Algorithms, and Soft Optimization Techniques.
Availability
Location
Authorized to work in
Salary expectations
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