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Schedule Interview NowJahanzaib N. Backend, Python and Data Engineering
My name is Jahanzaib N. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Web Scraping, Lead Generation, Data Scraping, Data Entry, Selenium, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: News Websites (Scrapyd + Mongodb), Real Estate Sites for Homes & Agents Details, Ecommerce Website, Cruise Scraping, Maps Scraping, etc.. I am based in Gujrat, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
Backend, Python and Data Engineering
3 years
Web Scraping
1 Year
Lead Generation
1 Year
Data Scraping
1 Year
Additional skills
- Web Scraping
- Lead Generation
- Data Scraping
- Data Entry
- Selenium
- Web Scraping Framework
- Data Mining
- Scrapy
- Selenium WebDriver
- Python Script
- Data Extraction
- Automation
- Communications
- Data Analysis
- Deployment Automation
- Data Science
Direct hire
Potentially possible
Previous Company
Systems Limited
Experience Highlights
News Websites (Scrapyd + Mongodb)
I have a list of news websites from which I systematically extract article data, including the title, description, publication date, images, and categories. Using Scrapy, I automate the scraping process to collect this information efficiently and store it in MongoDB for structured storage and easy access. The entire workflow is deployed and managed via Scrapyd, ensuring seamless execution, scheduling, and monitoring of scraping tasks. This setup allows for continuous data collection, enabling real-time updates and scalability across multiple news sources.
Real Estate Sites for Homes & Agents Details
Zillow is a leading online real estate marketplace in the United States, offering a comprehensive database of property listings, including homes for sale, rent, and those that have recently sold. The platform provides valuable information such as property details, pricing, photos, and neighborhood data, making it a go-to resource for buyers, renters, and real estate professionals. By scraping Zillow, you can gather detailed real estate data, including property values, market trends, and agent contacts, to support analysis, investment decisions, or competitive research.
Ecommerce Website
As this is an e commence website in this project i go to each categories and sub categories and scrape all the possible detail available on the detail page title, description price, tag, sku, images etc Technologies & Tools: Python (Beautiful Soup, Scrapy) Selenium for Dynamic Content XPath, CSS Selectors API Integration Data Validation and Cleaning
Cruise Scraping
I built a custom web scraping solution to extract detailed cruise deal information from travel websites. The scraper automatically collects and organizes essential data, including the cruise link, title, departure date, duration, and ship name, along with multiple cabin price categories such as inside, outside, balcony, suite, and other available classes like classic or superior. The data is exported in a clean and structured format (Excel/CSV), making it easy for clients to analyze, compare, or integrate into their business systems.
Maps Scraping
Google Maps scraping entails gathering location-based information from Google Maps, including business listings, reviews, contact details, and more. This information can be beneficial for businesses, researchers, or developers interested in analyzing or utilizing location-specific data. The project involves setting up web scraping tools or scripts to collect and structure this data for diverse uses, such as market research, insights into local businesses, or development of map-based applications.
Education
University of Gujrat
Bachelor of Computer Science (BCompSc) in Computer engineering
Languages
- English
Github