NAVEEN KUMAR S

🌟 Built a salary prediction model using Python, leveraging Decision Tree 🌳 and Random Forest 🌲 algorithms. Conducted data cleaning, EDA 📊, and visualized salary trends across countries 🌍 and races 🧑🏽‍🤝‍🧑🏼 to uncover hidden patterns and disparities.

No project description available.

This project showcases an end-to-end E-Commerce Analytics pipeline built using Apache Spark on Databricks, following the Medallion Architecture (Bronze 🟫, Silver 🩶, Gold 🟨). The objective is to convert raw CSV data into high-quality, analytics-ready datasets and deliver meaningful insights through interactive dashboards.

🏏 IPL Cricket Analytics – A PySpark project analyzing ball-by-ball, match, player & team data. 📊 Performs Spark SQL transformations, stats analysis & visualizations with Pandas, Matplotlib & Seaborn. 🔥 Reveals insights on batting, bowling, tosses, venues & season-wise trends.

🍴 This project applies Natural Language Processing (NLP) 🧠 techniques to analyze restaurant reviews 📝 and classify them as positive 😀 or negative 😞 . ✨ It demonstrates the power of text preprocessing 🔡 , feature extraction 📊, and machine learning models 🤖 in understanding customer feedback 💬.

This repository contains my practice work in **Natural Language Processing (NLP)** using Python and Jupyter Notebook. It includes implementations of text preprocessing, feature extraction, and simple ML models for text classification.