Capabilities:
Training and validating predictive models (classification & regression)
Model explanation (SHAP, PDP, feature importance)
Shiny app development to explore models interactively
Model performance reporting
Trait-based audience profiling & segmentation
Psychological personas built on data, not assumptions
Customer journey insight rooted in behavioral patterns
Use cases:
Understanding your top users’ motivational styles
Mapping personality profiles to feature engagement
Helping HR or L&D teams understand employee well-being, employability skills or personality profiles
Example projects:
EmploIA is an interactive machine learning demo that explores
how personality traits, motivational tendencies— like fun-
seeking or threat sensitivity— or self-concept may relate to
perceived employability. Try my interactive app built with R Shiny — dynamic data tools for exploring insights: https://insaytia.shinyapps.io/EMPL/
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ThinkxIA is an interactive machine learning tools that explores how
thinking styles, personality traits, and motivational tendencies—like fun-
seeking or rationality—can combine into distinctive psychological
profiles. Try my app:
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InnerliAI is an interactive machine learning demo that explores
how psychological factors and traits— like self-determination,
basic psychological needs and dark traits — may relate to self-
reported vitality. https://insaytia.shinyapps.io/myAPPLI/
Who I help?
Product teams, mental health platforms, HR analytics ...
