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Muhammad Zohaib N. - , Data Science, Data Analysis

My name is Muhammad Zohaib N. and I have over 12 years years of experience in the tech industry. I specialize in the following technologies: Apache Cassandra, Microsoft SQL Server, Data Scraping, Apache Spark, Apache Solr, etc.. I hold a degree in Master of Science (MS), Bachelor's degree. Some of the notable projects I’ve worked on include: Zillow Real Estate Data Scraper, Google Sheets Integration using Google Apps Script, Glassdoor Job Scraper, Indeed Job Data Scraping – Automated Job Listings Extraction, Amazon Products Data Scraping, etc.. I am based in Burewala, Vehari, Pakistan. I've successfully completed 10 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • 12 years

  • Apache Cassandra

    10 Years

  • Microsoft SQL Server

    3 Years

  • Data Scraping

    1 Year

Additional skills

  • Apache Cassandra
  • Microsoft SQL Server
  • Data Scraping
  • Apache Spark
  • Apache Solr
  • C#
  • Java
  • Data Warehousing & ETL Software
  • Python
  • Talend Data Integration
  • Data Engineering
  • MySQL
  • AWS Glue
  • Amazon S3
  • AWS Lambda
  • Data Science
  • Data Analysis

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Experience Highlights

Zillow Real Estate Data Scraper | Google Sheets | Make.com + Apify

I built an automated real estate data extraction system using Apify (Zillow Actor) + Make.com, scraping Zillow listings and storing results in Google Sheets for real-time analysis. Key Features: Scraped property details: Address, Beds, Baths, Area, Price, Geo-coordinates, Status, Home Type, Days on Zillow, Images & URLs Cleaned and structured the data for better readability Automated updates to Google Sheets for live tracking Scalable to expand beyond Zillow 💡 Saved client hours of manual work with a reliable property insights dashboard.

Google Sheets Integration using Google Apps Script | Data Scraping

I developed an automated web scraping and Google Sheets integration using Google Apps Script. The solution: Fetches live website data. Parses complex HTML structures. Extracts fields such as position, team name, matches, wins, draws, losses, goals, and points. Cleans and stores data directly in Google Sheets for reporting. Runs on-demand or on scheduled triggers for real-time updates. This project highlights expertise in web scraping, data automation, and Google Sheets scripting.

Glassdoor Job Scraper | Extract Job Listings Salary & Company Insights

I developed a Glassdoor Job Scraper for a client to extract structured and accurate job market insights. The scraper was built using Python, BeautifulSoup, and Selenium to handle Glassdoor’s dynamic content and anti-bot measures. The solution scraped and exported the following key fields into CSV/Excel/Database: Job Title Company Name Company Rating Location Job Type Salary Data Job URL This project is valuable in: Helps HR teams and recruiters analyze hiring trends. Provides competitor salary & reviews data for business intelligence. Enables market research for startups and planning.

Indeed Job Data Scraping – Automated Job Listings Extraction

I developed a custom Indeed scraper to extract job listings with high accuracy. Collected key job details including: Job Title Company Name Salary / Pay Information Job Type Location Job URL Delivered the data in structured format (Excel) ready for: Recruitment analytics Market research Business intelligence dashboards Integration with HR systems or ATS (Applicant Tracking Systems) Built with scalability and flexibility, allowing scraping from multiple job categories, keywords, and locations. Optimized for data accuracy, bypassing restrictions to ensure smooth, reliable data delivery.

Amazon Products Data Scraping | Data Extraction | Product Listings

I developed a custom scraper for Amazon laptop listings, extracting key details such as: Brand Model, Screen Size Color Storage RAM CPU Price No of Reviews Processor The solution delivered structured data in CSV/Excel, ready for analysis, reporting, or integration. I can build similar scrapers for any Amazon category including electronics, fashion, and home products with high accuracy.

Education

  • CEME NUST,Islamabad

    Master of Science (MS) in Software Engineering

  • FAST NUCES, Islamabad

    Bachelor's degree in Computer science

    2011-01-01-2015-01-01

Languages

  • English