I specialize in automating data extraction and processing using Python, helping businesses efficiently collect and analyze data. With expertise in Pandas, JSON, Selenium, and BeautifulSoup, I can extract structured and unstructured data from various sources and transform it into meaningful insights. My experience includes data validation, cleaning, and normalization, ensuring that the extracted information is accurate and well-structured.
I have worked extensively with e-commerce platforms like Shopify and Amazon, scraping product details, prices, and reviews for competitive analysis. Additionally, I handle geo-spatial data extraction using Point, Polygon, and MultiPolygon libraries, making it easier to analyze location-based insights. My skills also extend to automated data retrieval, setting up scripts to collect and update data on a schedule, and API integration using SQL and JSON to merge multiple data sources.
Beyond scraping, I offer expertise in data processing, report generation, and dashboard creation using Looker Studio, Tableau, Google Sheets, and Excel. By automating data workflows, I help businesses reduce manual tasks and improve efficiency. With a detail-oriented approach and a strong background in data analysis and administrative reporting, I ensure that the data I deliver is clean, structured, and actionable. Let’s discuss how I can help streamline your data collection and analysis processes.