University / Personal Experiments / Research
Breast Cancer Survival Prediction
SEER survival analysis with Kaplan-Meier, Cox PH, and Random Survival Forest models.
University / Personal Experiments
Clinical ML / Predictive Analytics
Role: University / Personal Experiment
Research
2023
Problem, execution, and outcomes
Population-level breast cancer outcomes needed interpretable survival modeling for risk-aware analysis.
Built survival analysis workflows comparing statistical and machine learning methods over clinical feature distributions.
Published related survival-analysis work at ICECET 2023.
Compared interpretable survival methods.
Connected clinical ML to research evidence.
ICECET 2023SEER datasetSurvival models
Capability Proven: Clinical ML pipeline design with statistical rigor and evaluation-focused decision support framing.
PythonScikit-learnSurvival AnalysisSEER
Clinical MLHealthcareSurvival Analysis
More work from this evidence lane
University / Personal ExperimentsResearch
Advanced Controller Design and Optimization (PMSM FOC)
PMSM FOC assessment with PI controller redesign and response-quality validation.
PMSM FOC
MATLAB / Simulink / FOC / +2
University / Personal ExperimentsResearch
EV Powertrain Simulation
MATLAB/Simulink EV powertrain model with battery sizing and control tradeoffs.
MATLAB/Simulink
MATLAB / Simulink / Control Systems / +1
University / Personal ExperimentsCompleted
Anomaly Detection Using Gaussian Model
Gaussian anomaly detection with density modeling, threshold tuning, and F1 evaluation.
Gaussian model
MATLAB / Gaussian Model / Thresholding