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deept-agl/README.md

Hi there! 👋 I'm a Data Engineer

I build data pipelines, automate workflows, and help teams make faster decisions using data. My work is a mix of engineering, problem-solving, and simplifying complex systems. I’m always learning something new and enjoy working on projects that have real impact.

🌿Fun Facts About Me

  • 🚴‍♂️ Fitness Enthusiast: I love long cycle rides, running marathons and staying active.
  • 🎧 Event Host: From professional to personal events, I’ve hosted them all!
  • ❤️ Volunteer: I dedicate my spare time to NGOs to make a difference.

✍️Recent Blogs

🎓Certifications and Courses

🌟 Let’s connect and build amazing things together! 🚀

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  1. cortex_analyst_incident_management_assistant cortex_analyst_incident_management_assistant Public

    Snowflake Cortex Analyst project for IT incident management using a dimensional model, Semantic View, and AI agent for SLA, downtime, workload, and application health analysis.

  2. Teams_chat_agent_HR_cortex_search Teams_chat_agent_HR_cortex_search Public

    A Microsoft Teams–integrated HR Policy Agent powered by Snowflake Cortex Search. It parses HR policy PDFs into a searchable knowledge base and enables employees to ask policy questions directly in …

    TSQL

  3. Customer_Churn_Analysis_Capstone_Project Customer_Churn_Analysis_Capstone_Project Public

    Machine learning project to predict customer churn using EDA, feature engineering, SMOTE, and multiple models. XGBoost delivers the best accuracy, highlighting tenure, complaints, and service inter…

    Jupyter Notebook

  4. Financial_Risk_Analytics_Project Financial_Risk_Analytics_Project Public

    Credit risk prediction project analyzing 3,478 companies using financial ratios, growth metrics, and balance-sheet indicators. Includes EDA, outlier treatment, logistic regression, random forest, a…

    Jupyter Notebook 1

  5. Web_scraping_Amazon_data_using_BeautifulSoup_Python Web_scraping_Amazon_data_using_BeautifulSoup_Python Public

    A Python web scraper using BeautifulSoup to extract Amazon iPad details, including title, generation-specific features, price, and ratings.

    Jupyter Notebook

  6. Wine_Sales_Time_Series_Forecasting_Project Wine_Sales_Time_Series_Forecasting_Project Public

    Time series forecasting project analyzing Rose and Sparkling Wine sales (1980–1995). Includes EDA, decomposition, stationarity checks, exponential smoothing, ARIMA/SARIMA modeling, and model compar…

    Jupyter Notebook