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My name is Sana A. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, Web Scraping, Selenium, Python Script, Web Design, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Python Automation Script Enhancement, Scrapped U.S clinics Data, Scrape Linkedin Jobs, ML Sports Fantasy Tool Project. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
Python, Web Scraping and Automation Platforms
5 years
Python
2 Years
Web Scraping
2 Years
Selenium
2 Years
Additional skills
- Python
- Web Scraping
- Selenium
- Python Script
- Web Design
- Data Mining
- Beautiful Soup
- Web Crawling
- Data Extraction
- Automation
- Scrapy
- API Development
- API Integration
- Django
- Web Crawler
- Machine Learning
Direct hire
Potentially possible
Previous Company
Confiz
Experience Highlights
Python Automation Script Enhancement
Successfully executed a large-scale WooCommerce customer migration by enhancing a Python script to merge multiple CSVs into an import-ready file. Added logic to set `customer_owner=9350`, tag `is_customer` based on lifetime sales, and generate unique `user_login` values. Used WP All Import to update customers, prevent duplicates via email, and assign VIP roles for sales ≥2000. Delivered final CSV, import log, mapping screenshots, and QA report confirming accuracy, no duplicates, and correct tagging.
Scrapped U.S clinics Data
I am an experienced data scraper specializing in gathering and organizing clinic information across the USA. With a strong background in web scraping and data extraction, I ensure accurate and up-to-date data collection. My skills include proficiency in web scraping tools, data storage, and organization. I excel in analytical and problem-solving tasks, maintaining quality and accuracy while managing large datasets. I have successfully completed similar medium-sized projects, demonstrating attention to detail, reliability, and the ability to work independently.
Scrape Linkedin Jobs
1. Job Listing Extraction: The scraper efficiently retrieved job IDs from LinkedIn listings, streamlining the data acquisition process. 2. Data Extraction: It meticulously extracted essential information such as job title, employment type, description, company name, logo (if available), and apply URL. Additionally, I implemented URL decoding to ensure the integrity of apply URLs by reverting them to their original formats.Following the successful execution of the scraping process, I stored the acquired data in CSV format for further utilization and analysis.
ML Sports Fantasy Tool Project
🌐 Project Scope: Developed a dynamic sports platform for American sports enthusiasts, offering a seamless blend of player/team stats, rankings, schedules, and betting insights across NFL, NBA, MLB, and NHL. 🛠️ Technology Stack: - Backend Development: Python, Django REST Framework - Database Management: Postgres SQL, AWS RDS - Web Development: Python, Django REST Framework, AWS EC2, AWS Elastic BeanStalk 🔧 Key Features & Technologies: - Data Engineering: Extracted, transformed, and loaded diverse sports data into a robust and scalable database. - Backend APIs: Developed APIs for structured data delivery to the frontend, ensuring a seamless user experience. - AWS Cloud Integration: Managed backend deployments and database hosting on AWS, ensuring high availability and scalability. - Data Processing Optimization: Leveraged AWS scheduling capabilities for efficient data processing and regular updates. 👩💻 Our Approach: - Data Extraction: Extracted data from various sources to create a comprehensive sports database. - Transformation: Applied necessary transformations to ensure data accuracy and relevance. - Loading: Loaded data into a robust database to support fast-paced updates. 🌟 Differentiators: - Expert Team: A team of data engineering experts and skilled backend developers. - Agile Development: Agile approach for exceptional speed and high-quality solutions. - AWS Cloud Expertise: Leveraged advanced AWS tools for efficient data processing and reliable deployment. 💡 Impact: - Transformed sports data accessibility and enhanced user experiences. - Provided a one-stop platform for sports enthusiasts to access comprehensive data and betting insights.
Education
University of Central Punjab
Bachelor of Science (BS) in Computer science
2018-01-01-2022-01-01
Languages
- English
Github
Stackoverflow