Prerana Chandania
@preranachandania
I build embedded biomedical systems using STM32, EMG signals, and machine learning.
What I'm looking for
At DRDO Pune, I worked on real-time EMG signal acquisition and hand-movement classification, supporting sensor placement, electrode configuration, preprocessing, noise analysis, and validation across repeated trials.
I've built a four-channel STM32F411RE EMG acquisition system that samples neck-muscle signals at 1000 Hz and classifies seven neck movements using Random Forest features including RMS, MAV, WL, and SSC. My work targets wearable and biomedical embedded applications.
I also design embedded firmware and digital hardware, from Verilog simulation in Vivado to Cadence schematic and layout design. My projects include a smart health-monitoring cloth with connected sensors, remote data transmission, visualization, and alerts.
Experience
Work history, roles, and key accomplishments
Intern
DRDO Pune
Oct 2024 - Mar 2025 (5 months)
Worked on real-time EMG signal acquisition for hand and forearm muscle movements. Assisted in sensor placement, skin preparation, and electrode configuration for reliable signal capture.
Education
Degrees, certifications, and relevant coursework
MIT World Peace University
Master of Technology, VLSI and Embedded Systems
2023 - 2025
Grade: 7.33 CGPA
Pursued M.Tech in VLSI and Embedded Systems with a CGPA of 7.33.
Gyan Ganga Institute of Technology and Science
Bachelor of Technology, Electronics and Communication
2019 - 2023
Grade: 8.63 CGPA
Completed B.Tech in Electronics and Communication with a CGPA of 8.63.
Availability
Location
Authorized to work in
Job categories
Skills
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