Batch: 2024/2025/2026/2027. About the internship:
- This opportunity provides exposure to practical projects involving data processing, web information extraction and machine learning.
- Interns will work with datasets and technical methods used to prepare information for ML-related tasks.
Responsibilities:
- Participate in gathering data for practical project requirements.
- Prepare datasets through cleaning and preprocessing activities.
- Extract information from websites using appropriate scraping approaches.
- Support the development of machine learning models.
- Process collected information so that it can be used in technical workflows.
Web development knowledge:
- Understand HTML and CSS as they relate to webpage structure and content.
- Be comfortable working with the Document Object Model.
Web scraping requirements:
- Know how to extract website data using BeautifulSoup.
- Have familiarity with Selenium for browser-based information extraction.
- Understand approaches for working with both static and dynamically generated web content.
- Be able to make HTTP requests using Requests or HTTPX.
- Apply regular expressions when identifying and processing text patterns.
Data processing and compliance:
- Have knowledge of Pandas and NumPy for cleaning and working with datasets.
- Understand robots.txt and relevant website scraping rules.
- Be aware of ethical considerations when collecting information from websites.
Eligibility and application:
- Graduation years 2024 through 2027 are eligible.
- The stated location is Noida 132, with a monthly stipend of 25,000 to 30,000.