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vighnesh3043/README.md

👋 Hi, I'm Vighnesh

🚀 About Me

  • 🎓 B.Tech in Electronics and Communications Engineering from Gitam University Bangalore.
  • 👨‍💻 Passionate about Data Engineering, SQL, Python, ETL and Azure.
  • 📊 Experienced in data engineering, analytics, visualization, and database management.
  • 🌱 Currently working as Traine Sales Recruiter and aiming to transition into a Data Engineering role.
  • ⚡ Fun Fact: I love exploring innovative tech solutions in DATA for real-world problems.

🛠️ Skills & Tools

  • 💾 SQL | MySQL | DBMS | Data Warehousing | ETL
  • 🐍 Python | Pandas | NumPy | PySpark | DataBricks
  • ☁️ Azure | Microsoft Azure Data Factory
  • 📊 Data Visualization | MS Excel
  • 🔗 GitHub | XML | Data Mining

📫 Connect with Me

LinkedIn
Email

⭐ Feel free to explore my repositories and collaborate on projects!

Pinned Loading

  1. ETL-project1 Public

    This project demonstrates a data engineering pipeline using FastAPI, MySQL, and Jupyter Notebook. It processes raw transactional data, cleans and transforms it using Pandas, and loads it into a str…

    Python

  2. Instagram-User-Analytics Public

    Generated business insights for the product, development, and marketing teams that can be utilized by teams throughout the company to start a new marketing campaign, choose which features to includ…

  3. Operation-Analytics-and-Investigating-Metric-Spike Public

    This project demonstrates an extensive use of SQL queries to analyze operational KPIs. We find trends in language distribution, growth dynamics, user activity patterns, engagement trends, and email…

  4. Hiring-Process-Analytics Public

    Using sophisticated Excel data analysis and visualization, I provided a thorough summary of post-tier representation, departmental proportions, wage trends, and gender distribution. used these data…

  5. Hotel-Booking-Analysis Public

    Reductions of 15% were achieved by using dynamic pricing, 12% more bookings during peak months were made thanks to focused marketing, and booking sources were streamlined. improved income and strat…

    Jupyter Notebook