Hi, I'm Praveen

< Java Full Stack Developer />

Full Stack Developer passionate about building modern web applications using Java, Spring Boot,

React.js, JavaScript, and SQL. Always learning, coding, and improving.

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ABOUT

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Aspiring Java Full Stack Developer with hands-on training in Core Java, SQL, J2EE, JSP, Hibernate, Spring Framework and Spring Boot, HTML, CSS, JavaScript and ReactJS. Experienced in building responsive web pages and integrating interactive features. A strong team player with solid problem-solving skills and a commitment to delivering efficient, high-quality solutions.

🎓 Education

B.Tech Information Technology

College: XYZ Engineering College

University: Anna University

Year: 2021–2025

CGPA: 8.2

HSC – 12th Standard

School: Govt. Hr Sec School

Board: State Board

Year: 2021

Percentage: 82%

SSLC – 10th Standard

School: Govt. High School

Board: State Board

Year: 2019

Percentage: 86%

💼 Internships

Python & Data Analysis Intern

Company: Strydo Tech

Year: Jun–Jul 2023

Worked on data cleaning, visualization, and statistical analysis.

Machine Learning Intern

Company: Nafter Web Technologies

Year: Jul–Aug 2024

Built stock price prediction model using ML algorithms.

Full Stack Developer Intern

Company: ABC Software

Year: Jan–Mar 2025

Developed responsive web pages using React, Node, Express.

Tech Stack

Programming Languages

Java

Python

C

Java Frameworks & Tools

Spring Boot

Spring MVC

Spring Core

JDBC

Servlet/JSP

Hibernate

Python & Machine Learning

NumPy

Pandas

Matplotlib

ML

Flask

Jupyter

Hosting & Deployment

Git

GitHub

Vercel

Netlify

Web Technologies

HTML5

CSS3

JS

Bootstrap

React.js

Databases

MySQL

Oracle

Tools

Eclipse

VS Code

MySQL Workbench

Postman

Google colab

...
Customer churn prediction and retention strategies | Academic Project

  • Developed an 82% accurate churn prediction model using XGBoost and deployed it via a Flask web app
  • Implemented LIME for model explainability, clearly highlighting the key factors influencing each prediction.
  • Suggested retention strategies and support to reduce churn and boost customer satisfaction.

Technologies Used

Python Machine Learning Numpy Pandas Matplotlib Scikit-learn Flask HTML5 CSS3 JavaScript Jupyter Notebook Bootstrap MySQL
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Praveen Book Store

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Online Utility Bill Payment System

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Video Vault

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CONTACT ME 💌

Feel free to reach out to me through any of the platforms below.
I'd love to connect with you!

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