SYSTEM_STATUS: ONLINE

PORTFOLIO_VERSION: 3.14.159

dev@portfolio-system

CPU: 0%MEM: 0%NET: 0%UP: 0d 0h 0m

Bhavesh Madankar

System Architect

CONTACT_MATRIX

EMAIL PHONE LINKEDIN

SYSTEM_OVERVIEW

> cat /profile/summary.txt

Motivated and detail-oriented individual with a solid foundation in Python programming. Eager to enhance skills in software development and explore backend technologies through real-world experience. Seeking an opportunity to work in a collaborative environment where I can learn from experienced professionals and contribute to meaningful projects.

TECH_STACK_RADAR

FRONT-END

HTML

CSS

JavaScript

BACK-END

Python

SQL

MACHINE LEARNING CONCEPTS

OOPS

DSA

DBMS

TOOLS & TECHNOLOGIES

Git

GitHub

VS Code

PERFORMANCE_METRICS

PROJECTS

POSITIONS

SKILLS

CERTS

> ./skills --list-all

FRONT-END

> cat front-end.txt

HTML

CSS

JavaScript

ReactJS

BACK-END

> cat back-end.txt

Python

SQL

MACHINE LEARNING CONCEPTS

> cat machine learning concepts.txt

OOPS

DSA

DBMS

Computer Network

TOOLS & TECHNOLOGIES

> cat tools & technologies.txt

Git

GitHub

VS Code

Jupyter Notebook

> git log --projects --oneline

Smart File Organizer

PROJECT_ID: 1

> cat package.json | grep dependencies

PythonWatchdog

> cat README.md

Made using Python and Watchdog to watch folders in real-time. It automatically moved files into folders like audio, video, images, and documents. If files had the same name, it gave them a new unique name. Used hash check to make sure files were not damaged or repeated.

Expense Tracker

PROJECT_ID: 2

> cat package.json | grep dependencies

HTMLCSSJavaScript

> cat README.md

Developed a fully functional expense tracker using JavaScript. Users can add, view, and delete expenses by category (e.g., food, shopping, bills). Used local storage to keep data even after page reloads. Created a clean and responsive UI with HTML/CSS. Added input validation and dynamic DOM updates using JavaScript.

Crop Recommendation System

PROJECT_ID: 3

> cat package.json | grep dependencies

PythonPandasScikit-learn

> cat README.md

Built a machine learning model to suggest the best crop based on soil and weather data. Used Python, Pandas, and Scikit-learn with features like nitrogen, pH, temperature, and rainfall. Achieved good accuracy using Random Forest classifier.

> find /education -type f

BTech Electronics and Telecommunication Engineering

Yeshwantrao Chavan College of Engineering — RTMNU

2025

GPA: 8.24

> openssl verify /certifications/*

PYTHON -The Joy of Computing Using Python - NPTEL

VERIFIED ✓

Problem Solve- Solved 400+ problems solved on Platform like GFG,LeetCode,HackerRank ,CodeChef.

VERIFIED ✓

Event Lead-Database Co-Head in Icon (Departmental Fest)

VERIFIED ✓

HackerRank -4 Star Coder on HackerRank.

VERIFIED ✓

GFG Rank-I have 74 Rank in college on GFG platform.

VERIFIED ✓