Transforming raw data into actionable insights through web scraping, automation, and data visualization.

I am a data analyst and web scraping specialist with a passion for turning complex, messy data into clear, actionable insights. With hands on experience in Python (Pandas, NumPy, BeautifulSoup, Selenium, Scrapy) and data visualization tools like Power BI and Matplotlib, I help businesses make informed, data driven decisions.

I started my journey in data analysis to bridge the gap between raw information and meaningful business intelligence. Over time, I have successfully built custom web scraping solutions to extract data from multiple websites, clean and structure datasets, and visualize trends for easier decision making.

My values are accuracy, reliability, and efficiency. I believe in delivering solutions that save time, improve productivity, and empower clients with the insights they need to grow their business. I am committed to learning continuously, staying updated with new tools and techniques, and applying best practices in every project.

Work Terms

Hours of Operation: Flexible, available Monday to Saturday, 8 AM – 7PM (GMT+1), with the ability to adjust for urgent tasks.

Payment Terms: 50% upfront for new clients, balance upon project completion. Milestone based payments accepted for larger projects.

Communication Style: Prompt, clear, and professional via Freelancer messages. I provide regular updates on project progress and ensure all deliverables meet your expectations.