Project Portfolio

Real-world statistics and data science projects showcasing analytical skills, methodologies, and results.

Clinical Trial Analysis
CLINICAL RESEARCH

Clinical Trial Statistical Analysis

Comprehensive statistical analysis of Phase III clinical trial data, including survival analysis, efficacy endpoints, and safety assessments.

R Survival Analysis Clinical Trials
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Market Research
MARKET RESEARCH

Consumer Behavior Analysis

Large-scale survey analysis using advanced regression techniques to identify key factors influencing consumer purchasing decisions.

Python Regression Survey Analysis
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Time Series Analysis
TIME SERIES

Economic Forecasting Model

Developed ARIMA and seasonal decomposition models to forecast economic indicators with high accuracy and interpretable results.

Python ARIMA Forecasting
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A/B Testing
EXPERIMENTAL DESIGN

A/B Testing Framework

Designed and analyzed multiple A/B tests for web optimization, implementing proper statistical controls and power analysis.

R Hypothesis Testing Power Analysis
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Machine Learning
MACHINE LEARNING

Predictive Modeling for Healthcare

Built and validated machine learning models to predict patient outcomes, incorporating statistical validation and interpretability analysis.

Python Scikit-learn Model Validation
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Meta Analysis
META-ANALYSIS

Systematic Review and Meta-Analysis

Conducted comprehensive meta-analysis of published research studies, including heterogeneity assessment and publication bias analysis.

R Meta-Analysis Systematic Review
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