Skills and Expertise

Advance Analysis:

• Multi-level repeated

measured

• Multi-level cluster Sampling 

• Meta-analysis

Systematic Review Tools:

• GRAD Pro

• ROB-2 

• ROBINS 

• OVID search 

Epidemiological Studies:

• Cross-sectional study

• Case-control study

• Cohort study 

• Systematic review

Reference Management:

• Mendeley

• Endnote

• Rayaan

• Covidence

Data Collection Tools:

• Google Form

• Kobo Toolbox

• Survey Monkey

Presentation and Visualization:

• MS PowerPoint

• Google Site

• Google Spreadsheet

Academic Publishing:

• Academic writing

• Manuscript preparation

• Journal submission

• Articles corresponding 

Others: 

• Intensive care nurse

• Teacher 

• Motivator 

• Collaborator 

Statistical Software:

• R

• Python

• SAS

• STATA

• SPSS

• Excel

Statistical Tests:

• T-test

• Anova test

• Chi-squared test

• Mann-Whitney U test

• Kruskal-Wallis H test

• Fisher's exact test

Regression Analysis:

• Linear regression

• Logistic regression

• Multinomial regression

• Ordinal regression

• Poisson regression

• Negative binomial

Survival Analysis:

• KM survival analysis 

• Cox proportional hazard model

• Proportional hazard regression 

Machine Learning & Data Analytics:

• Predictive modelling

• Feature engineering

• Dimensionality reduction (e.g., PCA)

• Clustering (K-means, Shift Mean)

• Simulation modeling

• Spatial-temporal analytics

Advanced Machine Learning Techniques:

• Neural networks

• Deep learning (CNN, RNN, LSTM)

• Sentiment analysis & text classification

• Word embedding (Word2Vec, GloVe)

• Reinforcement learning

Programming & Tools:

• Pandas, Scikit-learn, TensorFlow, Gensim

• Jupyter Notebook

• GloVe, SVD, TF-IDF

Natural Language Processing (NLP):

• Text mining

• Natural language processing fundamentals

• TF-IDF & LSA-SVD

• Naïve Bayes & SVM classifiers