Welcome to my Data Science Portfolio! 📊
This repository showcases a collection of my data science projects, including data analysis, machine learning models, and data visualization. The projects are organized to demonstrate various aspects of data science, from data cleaning to model deployment.
Created and maintained by Kshitiz Rai.
| S.N. | Project Folder | Description | README Link | Status |
|---|---|---|---|---|
| 1 | E-com-Sales-Data-Analysis |
Analysis of e-commerce sales data to uncover trends and insights. | View README | Completed ✅ |
| 2 | Portfolio-Project-Automatidata |
Automating data analysis workflows for improved efficiency. | View README | Completed ✅ |
| 3 | excelerate-data-analysis |
Data analysis project from Excelerate internship, focusing on predictive analytics. | View README | In Progress ⚒️ |
| 4 | British Airways Data Science: Predicting Customer Buying Behaviour |
Predicting Customer Buying Behaviour through data of British Airways. | View README | Completed ✅ |
- Browse through the list of projects above.
- Click on the project name to view its README and setup instructions.
- Clone the repository and follow individual project setups to run locally.
git clone https://github.com/thekshitiz/Kshitiz-Data-Science-Portfolio.git
cd project-folder-name- Languages: Python, R
- Libraries/Frameworks: pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Plotly
- Tools: Jupyter Notebooks, Google Colab
- Data Sources: Public Datasets, Custom Data Collection
- Data wrangling and preprocessing for cleaning datasets
- Exploratory Data Analysis (EDA) with visualizations
- Predictive modeling using machine learning algorithms
- Automation of repetitive data analysis tasks
- Integration of tools like Excel for efficient workflows
- Real-world problem solving using data insights
Thank you for exploring my Data Science Portfolio! I’m always excited to collaborate on new projects, learn from others, and grow my skills. If you’re interested in working together, have any questions, or just want to chat about data science, feel free to reach out to me!
- Personal Website: kshitizrai.com.np
- LinkedIn: linkedin.com/in/kshitizrai
- Email: hello@kshitizrai.com.np
Tip: Use Ctrl + Click (Windows/Linux) or Cmd + Click (Mac) to open links in a new tab.
I look forward to connecting and creating something amazing together! Let’s turn ideas into impact! 🌟
This repository is licensed under the MIT License.