Himani Hooda

Bioinformatics Data Analyst @Oncopath Genomics

NJ, US

Built reproducible RNA-Seq pipelines (Python/pandas/scikit-learn): CPM & log normalization, label encoding, automated preprocessing.Ran feature selection (χ², mutual information, RF importance); verified stability with label-shuffle checks.Trained SVM (RBF), XGBoost, LDA, RF, KNN, Naïve Bayes, MLP with Stratified K-Fold; tracked ROC-AUC/PR-AUC, F1, sensitivity/specificity.Performed DE analysis (Welch’s t, BH-FDR); confirmed biological signal via KEGG/Reactome pathway enrichment (g:Profiler).Produced explainability using permutation importance and SHAP to highlight candidate genes and pathways.Created clinician-ready visuals: heatmaps, hierarchical clustering, comparative performance plots; summarized implications for NSCLC.Collaborated with investigators to align modeling with recurrence-risk and treatment questions; wrote concise, reproducible reports.

NCU (THE NORTHCAP UNIVERSITY)

B.Tech

Rutgers University–New Brunswick

Master's degree