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Automation and AI/ML Assisted Solid state Battery
Applied machine learning techniques and statistical methods to analyze sensor-based datasets (e.g., battery performance data), identifying patterns in
charging/discharging cycles and improving predictive modeling of system behavior.
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• Developed ETL pipelines for DOBOT CR3 and MG400 test benches, producing clean datasets for analytics.
• Coordinated cross-functional integration of battery hardware with automation scripts, enabling synchronized experiments and consistent data acquisition.
• Video Demonstration – Robotics Automation Setup - https://youtu.be/4Aygwmuk-TU.
Python, Machine Learning, Gen AI, Arduino , Robotics, Data Analysis