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I will analyze your wearable sensor data using python or matlab
Zafar Ahmad
Level 1
About this gig
Got raw data from smartwatches, fitness trackers, or health sensors? I'll transform your messy sensor data into clear insights, beautiful visualizations, and actionable results.
SENSORS & DEVICES I WORK WITH:
Smartwatches (Apple Watch, Garmin, Fitbit, Samsung)
Fitness trackers & activity monitors
Heart rate monitors (PPG, ECG wearables)
Accelerometers & gyroscopes (IMU)
Sleep trackers & HRV monitors
GPS & motion sensors Medical-grade wearables (Holter, CGM)
Custom IoT sensor arrays
Research-grade devices (Empatica, WHOOP, Oura)
PERFECT FOR:
- Researchers & PhD students
- Health tech startups
- Sports scientists & coaches
- Medical device companies
- Fitness app developers
- Clinical studies & trials
- Wellness companies
- Academic publications
WHY WORK WITH ME? MS Electrical Engineering - Biomedical Signal Processing
5+ years analyzing physiological signals
Published researcher in IEEE conferences ️
Expert in Python, MATLAB, signal processing I explain complex data in simple terms Beautiful visualizations that tell your story
️ TOOLS & TECHNIQUES: - Python: NumPy, Pandas, SciPy, scikit-learn, Matplotlib, Plotly - MATLAB: Signal Processing Toolbox, Statistics Toolbox
Get to know Zafar Ahmad
Zafar Ahmad
Spectral, Biomedical and Audio Signal Processing Engineer
Level 1
- FromPakistan
- Member sinceFeb 2022
- Avg. response time1 hour
- Last delivery1 day
Languages
English, Arabic
Signal processing engineer with an MS in Electrical Engineering from NUST. My research has been published at EUSIPESCO and ICAI, with two abstracts accepted at ESC Congress 2026. I help researchers, engineers and product teams get reliable answers from messy real-world signals: spectral and time-frequency analysis, denoising, feature extraction and machine learning for audio, biomedical (ECG, PCG, PPG, EEG) and vibration data, in MATLAB or Python. Every result comes with documented parameters and code. Send me a sample before ordering.
