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  1. Behavioral-Segmentation-and-Intent-Analysis Behavioral-Segmentation-and-Intent-Analysis Public

    Leveraging NLP and predictive modeling to align user intent with algorithmic matching. Focuses on classifying family-planning preferences to reduce friction in online dating experiences.

    Jupyter Notebook

  2. Social-Graph-Influence-on-User-Sentiment Social-Graph-Influence-on-User-Sentiment Public

    Experimental validation of balance theory in network contexts. Tests how relationship valence shapes attitude formation - a principle underlying social recommendation systems.

  3. Emotional-Dynamics-Scale-Development-and-Psychometric-Validation Emotional-Dynamics-Scale-Development-and-Psychometric-Validation Public

    Psychometric validation of the Emotional Flow Scale using CFA and invariance testing. Measures dynamic emotional experience during content consumption (N=2,626).

  4. Psychographic-Segmentation-for-User-Safety Psychographic-Segmentation-for-User-Safety Public

    Experimental research identifying when individual differences override consensus judgment. Uses multilevel modeling to pinpoint behavioral tipping points (N=889).

  5. Market-Trends-and-Genre-Success-Analysis-of-9-068-Films Market-Trends-and-Genre-Success-Analysis-of-9-068-Films Public

    Analysis of 9,068 films over 20 years examining market trends, genre co-occurrence, and release timing. Identifies patterns in content success using longitudinal modeling.