This repository consolidates all Data Science projects completed as part of the GUVI ITMDSA MDE96 [DS-WD-E-B9] program into a single organized workspace.
| # | Project | Description |
|---|---|---|
| 01 | DataSpark – Global Electronics Insights | EDA and dashboards for a global electronics retailer using Python, MySQL & Power BI |
| 02 | ITMDSA MDE96 Final Project | Capstone project integrating data science and web development |
| 03 | Car Dheko – Used Car Price Prediction | ML regression model to predict used car prices with a Streamlit app |
| 04 | Dominos – Predictive Purchase Order System | Time-series forecasting for ingredient demand and purchase order generation |
| 05 | Microsoft – Classifying Cybersecurity Incidents | Multi-class classification of SOC incident triage grades using the GUIDE dataset |
| 06 | RedBus – Bus Route & Booking Analysis | Web scraping, MySQL storage & Streamlit app for RedBus travel data |
- Languages: Python, SQL
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, XGBoost
- Databases: MySQL
- Visualization: Power BI, Streamlit
- Web Scraping: Selenium
Each project lives in its own subfolder with a dedicated README.md. Navigate to the relevant folder and follow the setup instructions there.
# Example: set up a project
cd 03_DS_Car_Dheko
pip install -r requirements.txt
streamlit run app.pyYasar Arafath S
GUVI ITMDSA MDE96 [DS-WD-E-B9]
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