🚀 AI Data Platform

Welcome to my AI Data Platform repository.

This repository is a collection of 11 end-to-end Data Analytics and Machine Learning projects that demonstrate practical skills in data analysis, business intelligence, feature engineering, and predictive analytics.

The goal of this portfolio is to solve real-world business problems using modern data tools and machine learning techniques.

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📌 About This Portfolio

This portfolio covers the complete data lifecycle:

• Data Collection
• Data Cleaning
• Exploratory Data Analysis (EDA)
• SQL Analysis
• ETL Pipelines
• Data Visualization
• REST API Integration
• Feature Engineering
• Machine Learning
• Model Evaluation
• Model Deployment

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📂 Projects

Project	Title	Technologies
Project-01	Amazon Delivery Analysis	SQL, Python
Project-02	Customer Analysis	Python, Pandas
Project-03	Product Analysis	Python
Project-04	Orders Analysis	Python
Project-05	Shipment Analysis	Python
Project-06	MySQL	MySQL
Project-07	Python ETL Pipeline	Python, ETL
Project-08	Data Visualization	Python, Matplotlib
Project-09	REST API Data Analysis	REST API, JSON, Python
Project-10	Feature Engineering	Pandas, Scikit-learn
Project-11	Machine Learning Revenue Prediction	Scikit-learn, XGBoost, LightGBM, CatBoost

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🛠 Technical Skills

Programming

• Python
• SQL

Data Analysis

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Data Transformation
• Feature Engineering
• Data Validation

Machine Learning

• Linear Regression
• Decision Tree
• Random Forest
• XGBoost
• LightGBM
• CatBoost
• Model Evaluation
• Feature Importance
• Model Serialization

Libraries

• Pandas
• NumPy
• Matplotlib
• Scikit-learn
• Joblib

Business Intelligence

• Power BI
• Tableau
• Microsoft Excel

Databases

• MySQL

Version Control

• Git
• GitHub

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📈 Key Highlights

• ✅ 11 End-to-End Projects
• ✅ Real Business Datasets
• ✅ SQL Database Design
• ✅ ETL Pipeline Development
• ✅ REST API Integration
• ✅ Feature Engineering
• ✅ Machine Learning Model Comparison
• ✅ Model Deployment using Joblib
• ✅ Business Insight Generation
• ✅ Professional GitHub Portfolio

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🧠 Machine Learning Models Implemented

• Linear Regression
• Decision Tree Regressor
• Random Forest Regressor
• XGBoost Regressor
• LightGBM Regressor
• CatBoost Regressor

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📊 Tools & Technologies

• Python
• SQL
• Pandas
• NumPy
• Matplotlib
• Scikit-learn
• XGBoost
• LightGBM
• CatBoost
• Power BI
• Tableau
• Excel
• Git
• GitHub

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🎯 Learning Outcomes

Through these projects, I gained practical experience in:

• Data Cleaning & Preparation
• Data Exploration
• SQL Querying
• ETL Development
• REST API Integration
• Feature Engineering
• Machine Learning
• Business Analytics
• Model Evaluation
• Feature Importance Analysis
• Model Deployment
• Business Problem Solving

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📁 Repository Structure

AI-Data-Platform/

├── Project-01-Amazon-Delivery
├── Project-02-Customer-Analysis
├── Project-03-Product-Analysis
├── Project-04-Orders-Analysis
├── Project-05-Shipment-Analysis
├── Project-06-MySQL
├── Project-07-Python-ETL
├── Project-08-Data-Visualization
├── Project-09-REST-API
├── Project-10-Feature-Engineering
├── Project-11-Machine-Learning
└── README.md

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📫 Connect With Me

• LinkedIn: www.linkedin.com/in/jeshurunsolly281203
• Email: jeshurunofficial28@gmail.com

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⭐ Thank you for visiting my portfolio!

If you found this repository helpful or interesting, feel free to explore the projects and connect with me on LinkedIn.