This is a portfolio that contains all data projects and research done by me and any other collaborators which i would definitely acknowledge
Welcome to my data analysis portfolio! This repository showcases a collection of my data analysis projects, ranging from exploratory data analysis to predictive modeling.
- Project 1: Exploratory Data Analysis of Bike Share Data
- Project 2: Predictive Modeling for Customer Churn Prediction
- Project 3: Sentiment Analysis of Customer Reviews
- Python 🐍
- Jupyter Notebook 📓
- Pandas 🐼
- Matplotlib 📊
- Seaborn 🌊
- Project 1: Analyzing bike share data revealed peak usage times and popular routes, informing marketing strategies for targeted promotions.
- Project 2: Building a predictive model for customer churn helped identify factors influencing customer retention, leading to targeted retention campaigns.
- Project 3: Sentiment analysis of customer reviews uncovered patterns in customer feedback, guiding product improvements and customer service initiatives.
- Clone this repository to your local machine.
- Navigate to the project directory of interest.
- Open the Jupyter Notebook (.ipynb) file using Jupyter Notebook or JupyterLab.
- Follow the instructions and run the code cells to reproduce the analysis.
I am passionate about data analysis and using insights to drive business decisions. Connect with me on LinkedIn here!
Feel free to reach out to me via email at davode12@gmail.com.
OR
Connect with me on LinkedIn here!
Thank you for visiting my portfolio! 🎉