With a robust background in web scraping, I, Maryam Meraj, possess extensive experience in extracting and processing data from various online sources to support data-driven decision-making. My expertise includes:

• Data Extraction: Proficient in using Python libraries such as BeautifulSoup, Scrapy, and Selenium to efficiently scrape large volumes of data from dynamic and static websites.
• Data Cleaning and Processing: Skilled in cleaning and transforming raw data into structured formats using pandas and other data manipulation tools, ensuring accuracy and usability.
• Automated Workflows: Experienced in developing automated scripts to perform routine scraping tasks, reducing manual effort and enhancing productivity.
• API Integration: Adept at integrating with APIs to gather data when direct scraping is not feasible, ensuring comprehensive data collection strategies.
• Ethical Scraping Practices: Committed to adhering to legal and ethical guidelines while scraping, respecting website terms of service, and ensuring responsible data usage.
• Problem-Solving: Strong problem-solving skills to overcome challenges such as CAPTCHA, IP blocking, and data structure variability.
• Data Visualization: Ability to present scraped data through interactive dashboards and visualizations using tools like Matplotlib, Tableau, and Power BI.

My web scraping expertise has been instrumental in supporting market research, competitive analysis, and business intelligence initiatives, enabling organizations to harness the power of web data effectively.