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gzlupko/README.md

Hello! 👋

🏫 I'm a data scientist on Autodesk's People Analytics team, where I lead quantitative research on employee productivity and the impact of AI tool use, conduct causal inference for program evaluation, and develop LLM solutions for text analysis at scale.

🛠 My Tools

Python R SQL AWS Tableau

👥 Feel free to get in touch with me via the following:

LinkedIn Gmail Google Scholar

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  1. nlp_projects nlp_projects Public

    This repo contains Python and R code for Natural Language Processing (NLP) methods applied to open-entry text data collected in psychological and organizational research.

    Jupyter Notebook 2

  2. gr5073_ML gr5073_ML Public

    Personal repo for projects associated with GR 5073 Machine Learning for the Social Sciences

    Jupyter Notebook

  3. 5123_Linear_Models 5123_Linear_Models Public

    Lab assignments and code repository for Group 1 in HUDM 5123 Linear Models & Experimental Design, Fall 2021

    R

  4. Employee_Attrition_Modeling Employee_Attrition_Modeling Public

    People analytics project in R that implements predictive modeling to identify employees most likely to leave a company. Discussion around implications for the sample firm and proposed interventions…

    R 8

  5. Network_Research Network_Research Public

    This R notebook applies machine learning classification methods in the context of organizational network analysis. The goal was to test the predictive accuracy of various supervised learning models…

    R

  6. Recruiting_Prediction_Neural_Network Recruiting_Prediction_Neural_Network Public

    This project analyzes fictional recruiting data through two main approaches - prediction and explanation. A multilayer perceptron is used for prediction and logistic regression for explanation.

    4