Projects
My portfolio of Data Science and Machine Learning projects I have completed through my journey.
Fruit Classification with Convolutional Neural Networks
In this project, I build & optimize a Convolutional Neural Network to classify images of fruits to help a grocery retailer enhance & scale their sorting & delivery processes. Continue reading Fruit Classification with Convolutional Neural Networks
Enhancing Target Accuracy with Machine Learning
In this project, I build a classification model to predict which customers will sign up for a grocery store’s Delivery Club. The final classification model chosen showed an accuracy of > 95% and F1-score of 0.92. Continue reading Enhancing Target Accuracy with Machine Learning
The "You are What You Eat" Customer Segmentation
Using K Nearest Neighbors (unsupervised learning) to cluster customers to understand the shopping habits of customers, I found three clusters that correspond to dietary habits. Continue reading The "You are What You Eat" Customer Segmentation
Predicting Customer Loyalty Scores Using Machine Learning
In this project, I was able to predict customer loyalty scores for a client using regression algorithms with an adjusted R-squared of 0.925. Continue reading Predicting Customer Loyalty Scores Using Machine Learning
Largest Palindromic Number
A palindrome is a word/set of numbers that reads the same from both ends. Sounds cool right? I created a web app that will generate the largest possible palindrome from the product of two 3-digit numbers. Continue reading Largest Palindromic Number
Finding Prime Numbers with Python
This is one of my first and simplest projects programming in Python. I also made a Streamlit web app to finish it off. Continue reading Finding Prime Numbers with Python
