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Kapilbhadu0017/README.md

Hi, I'm Kapil Choudhary 👋

A Data Automation Engineer currently pursuing BCA and an Advanced AI/DS certification with IIT Indore (via Intellipaat).

I build practical data solutions — automated scraping pipelines, SQL-driven reporting tools, end-to-end data pipelines, and deep learning models.

🛠️ What I Work With

  • Languages: Python, SQL, Java, C++
  • Data: Pandas, NumPy, Matplotlib, Seaborn, SQLite
  • Scraping: Requests, BeautifulSoup
  • ML/DL: TensorFlow, Keras, Scikit-learn, CNNs, RNNs, Transfer Learning
  • Tools: Jupyter Notebook, Git, VS Code, Ubuntu Linux

🚀 Featured Projects

📚 Book Price Intelligence Scraper

End-to-end web scraping pipeline that collects 1,000 books across 50 categories with automatic pagination, cleans the data, loads into SQLite, and generates category-level price analysis reports with charts. → Built with Requests, BeautifulSoup, Pandas, SQLite, Matplotlib

🛒 Retail BI Pipeline

Automated retail business intelligence pipeline — cleans raw Superstore sales data, loads it into SQLite, and generates 5 SQL-driven business reports with visualizations covering revenue, profit margins, monthly trends, and discount impact analysis. → Built with Pandas, SQLite, Matplotlib, Seaborn

📊 SQL Business Intelligence Automator

SQL-driven reporting tool using relational JOIN queries across a normalized database to generate automated revenue reports and charts filtered by date. Cuts manual reporting time from hours to under 30 seconds. → Built with SQLite, Pandas, Matplotlib

🧹 Automated Sales Data Janitor

Automated Python pipeline that transforms broken, multi-format regional CSV exports into clean, analysis-ready data in under 1 second. → Handles encoding issues, European number formats, SQL-compatible headers

🧠 Deep Learning Portfolio

CNN from scratch, Transfer Learning (VGG16), RNN for sentiment analysis, ANN for Fashion MNIST — built as part of IIT Indore certification.

📫 Connect

"From a small village in Nagaur to building ML models — one commit at a time."

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  1. Book-Price-Intelligence-Scraper Book-Price-Intelligence-Scraper Public

    End-to-end web scraping pipeline — scrapes 1,000 books across 50 categories with automatic pagination, cleans the data, loads into SQLite, and generates price intelligence reports with charts.

    Python

  2. Retail_BI_Pipeline Retail_BI_Pipeline Public

    End-to-end retail data pipeline — automated cleaning, SQLite database, SQL reporting, and business insights visualization.

    Jupyter Notebook

  3. SQL-Business-Intelligence-Automator SQL-Business-Intelligence-Automator Public

    Automated SQL reporting pipeline — joins relational tables, filters by date, and generates revenue reports and charts in under 30 seconds.

    Python

  4. Sales-Data-Automated-Cleaner Sales-Data-Automated-Cleaner Public

    Automated Python pipeline that fixes broken regional CSV exports — handles Latin-1 encoding, European decimal formats, hidden newlines, and SQL-incompatible headers in under 1 second.

    Jupyter Notebook

  5. Deep-Learning-Projects Deep-Learning-Projects Public

    Jupyter Notebook

  6. live_object_detector live_object_detector Public

    JavaScript