Welcome! This repository showcases all my work completed during the Data Science Internship at Codveda Technologies — covering the full data science pipeline, from web scraping and data cleaning to machine learning and neural networks.
Over the course of this internship, I completed 9 hands-on tasks across 3 progressive levels — Basic, Intermediate, and Advanced — each designed to build real, practical data science skills.
For every task, you'll find:
- 🐍 The Python code/notebook used to complete it
- 📁 Output files generated along the way (CSV, charts, models, etc.)
- 📝 A short reflection (
Reflection_TX.md) covering what I did, what I learned, and challenges I faced
Codveda-DataScience-Internship/ ├── Level1-Basic/ │ ├── task1_web_scraping/ │ ├── task2_data_cleaning/ │ └── task3_eda/ ├── Level2-Intermediate/ │ ├── task1_regression/ │ ├── task2_classification/ │ └── task3_clustering/ └── Level3-Advanced/ ├── task1_time_series/ ├── task2_nlp/ └── task3_neural_networks/
| # | Task | Status |
|---|---|---|
| 1 | 🕸️ Data Collection & Web Scraping | ✅ Done |
| 2 | 🧹 Data Cleaning & Preprocessing | ✅ Done |
| 3 | 🔍 Exploratory Data Analysis (EDA) | ✅ Done |
| # | Task | Status |
|---|---|---|
| 1 | 📈 Predictive Modeling (Regression) | ⏳ In Progress |
| 2 | 🌸 Classification | ⬜ Not Started |
| 3 | 🧩 Clustering (Unsupervised Learning) | ⬜ Not Started |
| # | Task | Status |
|---|---|---|
| 1 | ⏳ Time Series Analysis | ⬜ Not Started |
| 2 | 💬 NLP — Text Classification | ⬜ Not Started |
| 3 | 🧠 Neural Networks (TensorFlow/Keras) | ⬜ Not Started |
Libraries used: pandas · scikit-learn · BeautifulSoup · requests · matplotlib · seaborn · statsmodels · nltk · TensorFlow/Keras
This internship is provided by Codveda Technologies, an IT solutions company specializing in web development, app development, digital marketing, and AI/ML services.
Feel free to connect or reach out if you'd like to discuss this project!
⭐ This repository is actively updated as tasks are completed throughout the internship.