Summary#

Extensive experience using Pandas for data manipulation in research and personal projects. Core tool for data preprocessing in IEEE-published healthcare analytics research, handling large datasets with complex transformations and feature engineering.

How I Apply This Skill#

• Preprocessed SEER-Medicare healthcare data for 3 IEEE publications
• Built data cleaning pipelines handling missing values and outliers
• Performed feature engineering creating derived variables for ML models
• Applied groupby aggregations for statistical analysis across patient cohorts
• Created merge/join operations combining multiple data sources
• Exported publication-ready datasets for statistical analysis

Key Strengths#

• Data Cleaning: Missing value imputation, outlier detection, type conversion
• Transformations: Groupby, pivot tables, apply functions, vectorized operations
• Merging: Inner/outer joins, multi-key merges, data alignment
• Time Series: DateTime indexing, resampling, rolling windows
• Integration: NumPy arrays, CSV/Excel I/O, database connections

Related Projects#

• Long COVID Prediction - Healthcare data preprocessing
• Echo State Network - Time series data preparation