Change Bringers

[#1]

Team Name	Change Bringers
Track	Health care & Life Sciences
Use Case	Neuro Drift is an AI-powered SAS solution that continuously monitors subtle, longitudinal  changes (“drift”) in Parkinson’s disease (PD) using wearables, smart phones, and clinical data.
Technology	Smart watch, smart phone, SAS
Region	NA  APAC
Team lead	Brandon Hopkins @bhopkins
Team members	@UtkarshMavi@FarhanYI@coder1234@kartiksehgal93@wing92518@bhopkins@DipshikhaC@aayushipShilpa Gulati
Social media handles	www.linkedin.com/in/utkarshmavi-ma0406 www.linkedin.com/in/farhanibrahimmd https://www.linkedin.com/in/kartik-sehgal-99926463/ https://www.linkedin.com/in/wing-ki-liu/ https://www.linkedin.com/in/brandon-t-hopkins/ https://www.linkedin.com/in/dipshikha4ai/ https://www.linkedin.com/in/dr-aayushi-pagnis-63074a28b/
Is your team interested in participating in an interview?	Y
Optional: Expand on your technology expertise

[AdityaPatel]

Hi Change Bringers team!
I’m Aditya Patel, and I’m excited about your Parkinson’s Neuro Drift idea.
My background:
• Time-series + ML: feature engineering from sensors, drift/stability checks, classical + deep models (scikit-learn, PyTorch, TensorFlow)
• SAS: data prep, analytics, model assessment; comfortable blending SAS with Python
• Pipelines & Viz: SQL, Python (Pandas/NumPy), Power BI/Tableau for monitoring dashboards
I can contribute to wearable/phone signal feature sets (e.g., tremor/gait variability), longitudinal drift analysis, and model monitoring. If you’re accepting another teammate, I’m available now and can align to NA/APAC times.
Contact: aditya.patel2609@gmail.com | theadityapatel.com | LinkedIn: linkedin.com/in/adityapatel2609