

Dynamic Behavioral and Data Scientist with a robust interdisciplinary background in psychology, statistics, and machine learning, dedicated to analyzing human behavior, cognitive patterns, and decision-making processes. Proven expertise in leveraging Python, statistical modeling, and experimental research methodologies across diverse clinical, behavioral, and AI-driven datasets. Skilled in transforming complex behavioral data into actionable insights that drive advancements in research, healthcare solutions, and human-centered AI systems. Committed to fostering innovation through data-driven strategies that enhance the understanding of human behavior.
Behavioral Data Analysis
Psychometrics & Scale Validation
Cognitive & Decision-Making Models
Experimental Design & Hypothesis Testing
Python (pandas, NumPy, Matplotlib)
SPSS, AMOS
Data Cleaning, EDA, Feature Engineering
Regression & Classification Models
Neural Networks (Foundational)
Model Evaluation & Interpretation
Inferential Statistics & Probability
Regression Analysis
Survey & Longitudinal Data Analysis
Tableau
Matplotlib
Insight-driven Reporting & Dashboards