Ayaz Rasheed

Python Developer

Lodhran, PK.

About

Highly accomplished Python Developer and Web Scraping Expert with a proven track record in automating data extraction, processing complex datasets, and delivering actionable insights. Specializing in large-scale PDF retrieval, e-commerce data extraction, and anti-bot protected scraping, I leverage advanced Python frameworks like Selenium and Scrapy to build robust, efficient solutions. Adept at transforming raw data into structured, analysis-ready formats, I drive operational efficiency and informed decision-making for diverse clients.

Work

Zaptick One

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CO Founder

Lodhran, Punjab, Pakistan

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Summary

Co-founded Zaptick One, driving strategic vision and technical execution for a new venture in the data and automation space.

Highlights

Defined product roadmap and technical architecture, laying the foundation for future platform development.

Managed initial business development and strategic partnerships to establish market presence.

Oversaw early-stage operational planning and resource allocation to ensure project viability.

Upwork

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Python Developer and Data Extraction Expert

Lodhran, Punjab, Pakistan

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Summary

As a Top-Rated Python Developer and Data Extraction Expert at Upwork, I specialize in designing and implementing advanced web scraping, automation, and data processing solutions for diverse client needs.

Highlights

Engineered and deployed large-scale PDF document retrieval systems, significantly streamlining information access and data compilation for clients.

Executed comprehensive e-commerce product and review extractions, providing critical market intelligence and competitive analysis data.

Developed targeted lead scraping solutions for government portals, enhancing data acquisition efficiency and enabling strategic outreach.

Implemented robust anti-bot protection bypass techniques, ensuring successful data extraction from complex and challenging websites.

Facilitated data acquisition from various course sites, supporting educational content aggregation and platform development.

Blogger Brackets

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Data analyst

Lodhran, Punjab, Pakistan

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Summary

Served as a Data Analyst, Researcher, and Data Extraction Specialist at Blogger Brackets, providing critical insights and structured data for content strategy.

Highlights

Conducted in-depth data analysis to identify trends and inform content optimization strategies.

Performed extensive research and data extraction to gather competitive intelligence and market insights.

Developed and maintained data pipelines to support ongoing analytical and content development initiatives.

Collaborated with content creators to translate data findings into actionable recommendations, improving content performance.

Education

Islamia University Bahawalpur

Bahawlapur, Punjab, Pakistan
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Bachelor of Science Computer Science Grade: 3.5

Courses

Programming

Data Analysis

Software Development

Languages

English

Skills

Python

Python.

Data Analysis

Data Analysis.

Data Extraction

Data Extraction.

Django

Django.

DRF

DRF.

Pandas

Pandas.

Fast API

Fast API.

N8N

N8N.

Selenium

Selenium.

Scrapy

Scrapy.

API Integration

API Integration.

Web Automation

Web Automation.

Interests

Vibe Coding

Vibe Coding.

Tech Blogging / Learning

Tech Blogging, Learning.

Projects

Large-Scale PDF Retrieval & Document Automation System

Summary

Spearheaded the design and implementation of an advanced Python-based system for automated retrieval and management of thousands of PDF documents from diverse web sources. This solution effectively navigated dynamic web content, managed file downloads with retries and validation, and ensured structured, indexed storage for client-ready, analysis-ready datasets.

Large-Scale Multi-Platform Data Scraping & Analysis

Summary

Developed and executed a comprehensive multi-platform data scraping and analysis system, successfully consolidating large-scale product data from various sources using Python, Selenium, Scrapy, and Requests. This project automated complex data extraction processes, effectively navigated anti-bot challenges, and delivered meticulously cleaned, structured, and analysis-ready datasets.