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Hello! πŸ‘‹

🏫 I'm a current PhD Student in Organizational Psychology at Columbia University with interests in data science and applied research.

πŸ›  My Tools

Programming Languages

R Python SQL

Other Software

Colab Git Jupyter Notebook VS Code

πŸ‘₯ Feel free to get in touch with me via the following:

LinkedIn Gmail Google Scholar

Gian Zlupko 's Projects

5123_linear_models icon 5123_linear_models

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

6122_multivariate icon 6122_multivariate

Code and assignments for HUDM 6122 Multivariate Analysis I. Methods covered include common data mining and dimensionality reduction techniques such as PCA, cluster analysis, factor analysis and multidimensional scaling.

cart icon cart

This repo contains an R programming project that implements and compares decision tree models including C5.0, C5.4 and CART.

employee_attrition_modeling icon employee_attrition_modeling

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 draw on best practices in organizational development.

factor_analysis icon factor_analysis

Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.

gr5073_ml icon gr5073_ml

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

natural-language-processing-1 icon natural-language-processing-1

This project explores methods in Natural Language Processing (NLP) including text mining and pre-processing, sentiment analysis, and Latent Dirichlet Allocation (LDA) topic modeling.

network_research icon network_research

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 on company employee network data.

nlp_projects icon nlp_projects

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.

orla_6541_applied_data_science icon orla_6541_applied_data_science

Work team repo for code and coursework associated with ORLA 6541 Applied Data Science in Organizations at Teachers College, Columbia University.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

r-shiny-interactive-visualization icon r-shiny-interactive-visualization

This repository houses code for an R Shiny web application that allows users to share interactive data visualizations. I deployed the application via shinyapps.io, enabling users to access the application through a web browser.

recruiting_prediction_neural_network icon recruiting_prediction_neural_network

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.

reticulate icon reticulate

Running Python in R with the reticulate package

social_network_analysis icon social_network_analysis

This repository utilizes social network analysis (SNA) to analyze multiple social networks. Clustering algorithms were used to explore sub-groups and QAP was implemented for non-parametric multiple regression analysis.

spark icon spark

Apache Spark - A unified analytics engine for large-scale data processing

spotify_data_analysis icon spotify_data_analysis

Performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. Implemented multiple regression to identify multivariate predictors of song popularity.

sql_database_in_aws icon sql_database_in_aws

Spun instance in Amazon Web Services (AWS) and built database using SQL. Connected the AWS instance to RStudio in a local environment and ran SQL commands in RStudio using the DBI package.

twitter_api icon twitter_api

Utilized Twitter API for data mining. Built an HTML-formatted data visualization using RMarkdown of tweet activity for trending houseplants.

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