Projects
Machine Learning
Spaceship Titanic classification model
Random Forest and XGBoost classification prediction python model. Predicting which passengers will be transported to an alternate dimension.
Tableau DashboardKaggle Notebook
blog
Housing Prices Regressor Predictions
XGBoost Regressor predictions of housing prices
Tableau DashboardKaggle Notebook
blog
NLP Tweet Classification
Binary classification model to determine if tweets are about disaters or not. Uses a TensorFlow Hub pretrained sentence encoder, USE, in a Sequential Model.
Kaggle Notebookblog
Food Not Food Text Classification 🍕🫐
Binary classification model to determine if sentences are about food. Hosted on Hugging Face.
AppPortfolio Chatbot RAG model 🤖
This app is a personalized chatbot that uses OpenAI and LlamaIndex to answer questions based on my portfolio, hosted with a custom interface on HuggingFace Spaces.
AppTime Series Forecasting
Modeling timeseries data using multiple machine learning methods. Uses Prophet model, tableau, excel.
Prophet Model Notebookblog series
Multi-target Regression Model
Forecasting product completion times using multi-output regression.
Tableau DashboardCrop Classification and Clustering Model
Multi-class Crop classification and clustering model built to recommend which farm crop to plant based on soil characteristics.
📝 ipynb Notebookblog
Other
Online retail sales exploratory data analysis
Gaining some practice performing exploratory data analysis, since this is often one of the first steps in preparing data for machine learning.
Tableau Dashboardipynb Notebook
blog
Network Diagrams and analysis
Relational Network Diagram
A relational interactive Marvel network
Character Network DiagramNetwork Diagram Kaggle Notebook
Other Network analysis
My Skills diagramCritical Path notebook
2 Sample Hypothesis T-test
Utilizing hypothesis testing t-tests to validate process improvements initiatives. Created a template and custom p-value function to interpret the results of the hypothesis tests.
📝 ipynb Notebookblog
Linear Programming Optimization
Rebalance 100 students on 7 teams into 5 new teams of different sizes, using Linear Programming to minimize the difference between the avg team score. Making the teams as balanced as possible.
📝 Project Summaryblog