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Prashasti08/README.md

People Science · Behavioral Science · Learning Science

Welcome to my GitHub portfolio — where I share research and applied projects focused on people science, behavioral science,learning science, analytics and AI

About
People Scientist | Behavioral & Learning Scientist

Background
4+ years across People Science, Learning & Behavioral Science, and AI Experience Research

Education
Dual Master’s in Psychology | Columbia University - Organizational Psychology (People Analytics), Delhi University - Applied Psychology

Research
2 peer-reviewed publications | Quantitative & Qualitative Research

Toolkit
Python · R · SQL · SPSS · Excel · Qualtrics · Tableau

Here to explore
How research + data can improve how people work, learn, and interact with technology.

Popular repositories Loading

  1. AWS-Data-Engineer-Competency-Mapping-L-D AWS-Data-Engineer-Competency-Mapping-L-D Public

    Competency-based L&D framework and 5-year career roadmap for AWS Data Engineers, integrating job analysis and measurable success metrics.

  2. Program_Evaluation_Of_Google_Data_Analytics_Course Program_Evaluation_Of_Google_Data_Analytics_Course Public

    Evaluating Google Data Analytics Certificate Course using Kirkpatrick’s 4-Stage Model

  3. pytorch_PT pytorch_PT Public

    Forked from pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python

  4. TARA-AI-Mentorship-IO-Psychology TARA-AI-Mentorship-IO-Psychology Public

    AI mentorship chatbot grounded in I/O Psychology, delivering culturally sensitive and emotionally intelligent guidance to graduate students using NLP and LLM frameworks

  5. Intrinsic-Motivation-CRAN-Contributions-R Intrinsic-Motivation-CRAN-Contributions-R Public

    Simple Linear Regression in R examining whether intrinsic motivation predicts open-source contributions (CRAN), including full model diagnostics and assumption testing on 841 cases

    R

  6. Experimental-Aggression-Analysis-ANOVA Experimental-Aggression-Analysis-ANOVA Public

    A Python-based behavioral analytics project. Applied Two-Way ANOVA to experimental data to quantify the interaction effects of demographic and situational factors on behavioral aggression

    Python