Eman wajid
Python dev: data cleaning, web scraping & automation.
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I help businesses turn messy, disorganized data into clean, usable insights — and automate the repetitive tasks that eat up your time.
What I offer:
🧹 Data Cleaning — Excel/CSV cleanup, deduplication, formatting, handling missing values
🕸️ Web Scraping — extracting structured data from any public website, at any scale
⚙️ Automation — scheduled reports, Google Sheets integration, automated email delivery
I build real, working solutions — not just one-off scripts. Every project I take on is designed to be reliable and easy for you to understand and reuse.
See examples of my work: github.com/emanwajid85
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End-to-End Automation Pipeline
Built a complete automation pipeline that scrapes live product data, cleans it with pandas, pushes the results directly into a Google Sheet, and automatically emails a summary report — all in a single script run.
Tools used: Python, pandas, BeautifulSoup, Google Sheets API (gspread), yagmail
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Web Scraper — 1000+ Book Catalog
Built a complete web scraper using Python, BeautifulSoup, and pandas to extract and clean over 1000 book records across 50 pages of a live website. Captured title, price, rating, and availability for each item, handled network errors gracefully without crashing, and delivered filtered summary reports (top 10 most expensive, all 5-star rated) alongside the full cleaned dataset.
Tools used: Python, requests, BeautifulSoup, pandas
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Real-World Data Cleaning with Python & Pandas:
Cleaned a real-world messy dataset (highest-grossing concert tours) using Python and pandas. Handled missing values, removed irrelevant columns, converted currency text to numeric values, and resolved encoding issues like hidden Unicode characters and footnote markers embedded in the raw data.
Tools used: Python, pandas
https://github.com/emanwajid85/concert-tours-data-cleaning
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