Research Associate Mountain View

ANUBHUTI CHOUBEY

UX & Health Research Wearable Sensor Analytics Consumer Insights Analyst

+1-480-***-**** *****************@*****.*** https://www.linkedin.com/in/anuchoubey/ Mountain View, CA EXPERIENCE

Research Associate

Google X Fitbit (through Tezerakt LLC) 09/2023 - 11/2024 Mountain View, CA Designed and executed quantitative and qualitative research studies to optimize consumer wearable experiences.

Improved heart rate model accuracy by 15% across Eos device builds for the Pixel Watch.

Conducted survey data analysis and behavioral research on wearable technology adoption.

Led sampling strategies and study participant recruitment, ensuring diverse and representative samples.

Analyzed 5000+ free-living data samples to validate new sensor technologies (cEDA, HRV).

Developed SQL-based dashboards and Python-driven insights, streamlining decision- making for stakeholders.

Research Intern & Research Associate

Crosshair Therapeutics 07/2022 - 09/2023 Sunnyvale, CA Processed 1 TB of large datasets using Python and MATLAB for comprehensive analysis.

Utilized pandas and scikit-learn to clean and extract 10,000+ data entries efficiently. Conducted hierarchical clustering on 50+ patient datasets to identify therapeutic response patterns.

Applied machine learning models (Random Forest) to personalize medicine for 100+ patients.

Research Assistant to Professor Jimmy Abbas

Arizona State University 10/2021 - 07/2022 Tempe, United States Designed and tested data-driven wearable sensor systems to assist individuals with Parkinson’s disease.

Analyzed 10 GB+ of sensor data to optimize real-time feedback mechanisms. Led experimental research design and data validation for sensor-based behavioral studies.

SKILLS

A/B testing Hypothesis testing Qualitative Interviewing Thematic analysis Qualtrics Google Forms REDCap Python SQL SAS Power BI Matplotlib Seaborn

Randomized sampling Power analysis HRV GSR Eye-tracking scikit-learn Regression Clustering MySQL PostgreSQL BigQuery Data Integration Data Cleaning & Validation FDA IRB Combining Disparate Data Sources Good Laboratory Practice SUMMARY

Experienced researcher with 3+ years in quantitative & qualitative research, user behavior analysis, and statistical modeling. Skilled in survey design, data visualization, and biometric data analysis. Proficient in Python, SQL, R, and Power BI, with expertise in consumer insights and

experimental design.

EDUCATION

Master of Science in Biomedical Informatics

Arizona State University

08/2021 - 12/2022

Tempe, Arizona

Master of Science in Bioinformatics

Central University of Punjab

08/2018 - 09/2020

Bathinda, Punjab

Bachelor of Science in Zoology

Veer Kunwar Singh University

05/2014 - 07/2018

Arrah, Bihar

PROJECTS

Heart Rate Data Analysis & Consumer Insights

Investigated and resolved performance regression in heart rate algorithms for Google Pixel Watch.

Analyzed 1000+ data sessions, identifying and fixing misalignment issues.

Improved data quality, reducing errors by 15%.

Momentary Stress Algorithm (MSA) Performance

Testing

Assessed MSA performance equivalency across devices to ensure stress detection accuracy.

Achieved 100% pass rate across multiple test scenarios. Improved test protocols, enhancing efficiency by 20%. Electrodermal Activity (cEDA) Sensor Performance

Validated cEDA sensor performance on Google Pixel Watch, ensuring reliable physiological data collection.

Achieved 100% dataset completeness across tested

devices.

Ensured signal fluctuation, maintaining sensor accuracy. Optimized sensor performance, improving reliability by 10%.

CERTIFICATION

Google UX Design Professional Certificate &

Foundations of UX Design

Google August 2024

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