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Prerana ChandaniaPC
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Prerana Chandania

@preranachandania

I build embedded biomedical systems using STM32, EMG signals, and machine learning.

India
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What I'm looking for

I'm looking for an embedded systems, firmware, biomedical, or VLSI role where I can build real-time hardware and software solutions using microcontrollers, signal processing, and machine learning.

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

DP

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 logoMU

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.

GS

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.

Tech stack

Software and tools used professionally

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