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shashikathi/README.md

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LinkedIn   GitHub   Portfolio   Email


🚀 About Me

  • 🎓 B.Tech (Hons.) Data Science & Data Engineering — Lovely Professional University
  • 💼 Experience:
    • Data Science Intern @ TransOrg Analytics
    • Business Analyst @ Movidu Technologies
  • 📊 I build ETL pipelines, analytics systems, BI dashboards, and ML models
  • ⚡ Focused on real-world impact + deployable ML systems
  • 🧠 Currently exploring MLOps & Generative AI for analytics automation

🧰 Tech Stack

Languages:        Python, SQL
Data & ML:        Pandas, NumPy, Scikit-learn, XGBoost
Databases:        MySQL, PostgreSQL, BigQuery
Visualization:    Tableau, Power BI, Looker Studio, Streamlit, Excel
Cloud & Tools:    Google Cloud, Oracle Cloud, Git, Linux

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  1. Customer-Churn-Analysis-Prediction Customer-Churn-Analysis-Prediction Public

    Predict which customers are likely to leave your business—and take action before it’s too late!

    Jupyter Notebook 1

  2. Superstore_Analytics Superstore_Analytics Public

    Superstore Sales & Profit Dashboard 📊 | Interactive Tableau dashboard analyzing sales, profit, discounts & order trends. Features regional insights, category breakdowns & order trends. 🚀

    1

  3. Wine-Quality-Prediction Wine-Quality-Prediction Public

    This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key f…

    Jupyter Notebook 1