AI Data Scientist
Community Dreams Foundation
Mar 2026 - Current (5 months)
• Conducted EDA and built predictive models (Random Forest) on 11K+ patient records — identified key drivers of user engagement and created dynamic confidence scoring (55-100% range), directly improving personalization; achieved 40% reduction in irrelevant recommendations.
• Designed self-service dashboards (Streamlit, Power BI) tracking healthcare KPIs across 10K+ conversations — automated ETL pipelines with data validation; cut manual reporting time by 40%; empowered stakeholders to self-serve insights.
• Performed data quality audits on 500+ profiles, surfacing 4 critical data issues (including a 1000x unit error) — implemented cleaning methodology and documented findings; improved downstream analytics accuracy by 25%.
• Collaborated wit