Biological & Clinical Data Analyst | SQL • Python • BigQuery • Tableau | MIMIC | EHR | Predictive Modeling
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🎯 ICU Mortality Prediction (XAI, SHAP, XGBoost) Built an ICU mortality risk prediction model using XGBoost and SHAP for explainability, supporting clinician decision-making.
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📊 HEDIS-Quality-Improvement-Asthma-ED-Utilization-Analysis Analyzed ED utilization patterns for asthma patients using MIMIC-IV data
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📊 MIMIC-IV Survival Analysis (Kaplan-Meier, CoxPH) Explored ICU patient survival trends using time-to-event models, identifying key risk factors affecting outcomes.
- Languages: Python, SQL, SAS
- Data Platforms: BigQuery, Tableau
- Libraries: Pandas, NumPy, Scikit-learn, XGBoost, Lifelines, SHAP
- Other: Git, Jupyter, Linux, Data Wrangling, EDA, Feature Engineering
I'm a data analyst specializing in Biological and clinical data.
Currently upskilling and contributing to open projects while I search for my next opportunity.
- 📧 Email: [madhuchavali6@gmail.com]
- 📁 Tableau