Health / Behavioral Analytics

Master of Science in Data Analytics & Computational Social Science (DACSS) · Amherst, MA

Postgraduate Diploma in Data Science & Business Analytics · Austin, TX

Bachelor of Science in Psychology (Minor in Computer Science) · Blacksburg, VA

Behavioral Health Technician · San Diego, CA

• Collected and reviewed behavioral data during ABA sessions and used client progress to inform session-level adjustments under clinical supervision.
• Implemented reinforcement schedules, prompt fading, and task analysis while maintaining HIPAA requirements and coordinating with caregivers.

Product Manager · Amherst, MA

• Lead product development for a smart medication dispenser with a five-person UMass Mechanical & Industrial Engineering senior capstone team.
• Translate product requirements into CAD, 3D-printed prototypes, test plans, design refinements, and manufacturability decisions.

Data Analytics & Strategy Consultant · Menifee, CA

• Analyzed client engagement, retention, and conversion data to support business and digital strategy decisions.
• Built KPI dashboards and predictive models for marketing, operations, and customer behavior; improved client-facing workflows and reporting.

Featured Speaker - AI for Mental Health · Blacksburg, VA

• Presented applications of machine learning for personalized mental-health interventions to 150+ participants.
• Built supporting Power BI visualizations and discussed the use of behavioral science and data-driven methods in health technology.

Python, NLP, scikit-learn, Transformers, Plotly Dash

• Collected and analyzed 25,886 posts and comments from three mental-health communities; compared three sentiment methods and three classifiers, conducted topic analysis, and built an interactive dashboard.

Clustering, Supervised Learning, Behavioral Analytics

• Co-led an interdisciplinary project exploring machine-learning methods for neurodivergent support and therapy-effectiveness analysis.

Predictive Modeling, A/B Testing, AWS, MongoDB, Node.js, React

• Applied behavioral modeling and experimentation to an intelligent scheduling concept; the project received a $500 KickStart VT seed grant.