Explore my hands-on work in End-to-End Machine Learning, Data Analysis, and Bioinformatics.
Developed an end-to-end machine learning pipeline to predict patient risk factors. Includes data preprocessing, model training, and hyperparameter tuning.
Built an interactive dashboard to interpret complex black-box models using SHAP values, making model predictions transparent and actionable for stakeholders.
Designed and deployed a comprehensive Power BI dashboard to visualize key health metrics, enabling data-driven decision-making for public health initiatives.
Conducted deep-dive statistical analysis on large-scale survey data, generating publication-ready visualizations and comprehensive statistical reports.
Executed a complete bioinformatics workflow to identify diagnostic biomarkers from bulk RNA-seq data, followed by pathway enrichment analysis.
Performed in-silico molecular docking and ADMET analysis to validate potential drug candidates against specific protein targets.