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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
Biomedical Signal Processing, Audio and Music Engineering
Level 1
- FromPakistan
- Member sinceFeb 2022
- Last delivery4 months
Languages
English, Arabic
Dive into advanced audio signal processing with my expertise! I specialize in preparing audio signals for deep learning, blending raw sound with technological innovation. My skills cover spectral analysis, pitch-shifting, and signal denoising. Beyond processing, I transform audio data for enhanced model training and generalization. Join me in revolutionizing audio processing for deep learning, where every sound is a step towards groundbreaking advancements.
