Intern Name: Bijaya Kumar Rout
Internship Duration: 01-June-2025 to 30-June-2025
Company: PRODIGY
Domain: Data Science
Designation: Data Science Intern
Certificate: Certificate.pdf
This repository contains the solutions and code for the 5 tasks I completed during my 1-month Data Science Internship at PRODIGY. The internship offered practical exposure to real-world datasets and data science workflows using Python.
| Task No. | Title | Focus Area |
|---|---|---|
| Task 1 | Population Trends by Income Group (1960–2023) | Data Preprocessing, Visualization |
| Task 2 | Titanic Survival Analysis | Classification, Feature Engineering |
| Task 3 | Bank Marketing Campaign – Decision Tree Classifier | Supervised Learning, Decision Trees |
| Task 4 | Social Media Sentiment Analysis | NLP, Text Classification, Sentiment Model |
| Task 5 | UK Traffic Accident Analysis | EDA, Clustering, Geospatial Insights |
Each task folder includes:
- 📓 Jupyter Notebook or
.pyscript - 📊 Dataset (if applicable)
- 📃 README or explanation with methodology and insights
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Statistical Analysis & Hypothesis Testing
- Machine Learning (Classification, Clustering)
- Model Evaluation and Tuning
- Data Visualization with
matplotlib,seaborn,plotly - Report Writing and Documentation
To apply theoretical knowledge from data science in real-world applications and solve data-driven problems using industry tools and best practices.
- Language: Python
- Libraries: pandas, numpy, sklearn, matplotlib, seaborn, nltk, plotly
- Tools: Jupyter Notebook, GitHub, VS Code
You can view my certificate for this internship here:
📄 Certificate.pdf