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Muhammad Zohaib N. - Fullstack Developer, Data Science, Data Analysis

At Softaims, I have been fortunate to work in an environment that values creativity, precision, and long-term thinking. Each project presents a unique opportunity to transform abstract ideas into meaningful digital experiences that create real impact. I approach every challenge with curiosity and commitment, ensuring that every solution I design aligns not just with technical requirements, but also with human needs and business objectives. One of the most rewarding aspects of my journey here has been learning how to bridge the gap between innovation and practicality. I believe technology should simplify complexity, enhance efficiency, and empower people to do more with less friction. Whether building internal systems, optimizing workflows, or helping bring client visions to life, my focus remains on developing solutions that stand the test of time. Softaims has encouraged me to grow beyond coding—to think about design, communication, and sustainability in technology. I see every project as part of a larger ecosystem, where small details contribute to long-lasting results. My daily motivation comes from collaborating with people who share the same passion for doing meaningful work, and from seeing the tangible difference our efforts make for clients around the world. More than anything, I value the culture of learning and improvement that defines Softaims. It’s a place where ideas evolve through teamwork and constructive feedback. My goal is to continue refining my craft, exploring new approaches, and contributing to solutions that are not only efficient but also elegant in their simplicity.

Main technologies

  • Fullstack Developer

    12 years

  • Apache Cassandra

    8 Years

  • Microsoft SQL Server

    10 Years

  • Data Scraping

    4 Years

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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Potentially possible

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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