Reliable Data Analysis and Web Scraping Solutions Using Python | Clean Code, Clear Insights, Timely Delivery

I'm Hamza Asad, a self-motivated data analyst and web scraper with a strong background in Python and a passion for working with real-world data. I specialize in cleaning, analyzing, and extracting insights from complex datasets, helping businesses and individuals make informed decisions.

Over the past year, I’ve worked on various projects including Kaggle competitions, freelance data analysis tasks, and scraping web data from platforms like LinkedIn and e-commerce websites. I have strong expertise in Pandas, NumPy, Jupyter Notebooks, and BeautifulSoup, and I use these tools to clean messy data, automate data collection, and find meaningful patterns.

My work is detail-oriented, well-documented, and always tailored to client needs. I focus on writing efficient, clean, and reusable Python code. Whether it’s scraping thousands of listings from the web, performing trend analysis, or cleaning massive spreadsheets, I enjoy every step of the data pipeline.

I’m also passionate about continuous learning — I follow top data science educators and actively apply new concepts in personal and client projects.

Outside of tech, I enjoy watching anime, gaming, and exploring animation and storytelling. These hobbies fuel my creativity and discipline, and I bring the same curiosity and focus to every project I take on.

Let’s connect and turn your data challenges into clear, practical solutions.

Work Terms

I am available for both short-term and long-term projects.

Hours of Operation: Flexible — primarily available 9 AM to 10 PM (GMT+5)
Communication: I prefer communicating through Guru, Gmail, or chat. Prompt replies guaranteed within 24 hours.
Payment Terms: I work on fixed-price or hourly contracts via SafePay.

My focus is on clear communication, timely delivery, and maintaining a high standard of work. I’m happy to set up regular updates or milestone check-ins based on your project’s needs.