Skills
Program Evaluation: Design of Logic Models and Rubrics, Goals and Outcomes Plan, Data Collection Plan, Data Analysis Plan, Stakeholders Relations
Quantitative Research Methodology: Survey Design and Validation, Experimental and Quasi-experimental Design, Sampling and Power Analysis
Foundational Statistics: Descriptive Statistics, Probability Theory, Inferential Statistics and Hypothesis Testing
Advanced Statistics: Multivariate Analysis, Regression Analysis, Time Series Analysis, Non-parametric Methods
Qualitative Data Analysis: Participants Recruitment, Focus Groups, In-depth Interviews, Cognitive Interviews, Phenomenological Research Design
Programming: Python, SAS
Analysis Software: Qualtrics, Google Analytics, Excel
Data processing: pandas, numpy
Natural Language Processing: Sentiment Analysis/NLTK, Part of Speech/SciPy, Emotion Classification/Transformers
Data visualization: matplotlib, seaborn, plotly, folium, Evergreen Academy
Artificial Intelligence (AI): Langchain, AI APIs, Pinecone
Machine Learning: scikit-learn
DevOps: Git, GitHub
Web development: HTML
Model deployment: Streamlit, Heroku, Hugging Face
Profile Photo
