Hello There!

I’m Kanishka Thakur,
Full Stack Web Developer.

My Profile

Kanishka Thakur

Web Developer | Designer

– About Me

Full Stack Developer
Problem Solver

"I’m a Full Stack Web Developer passionate about building modern, scalable, and user-friendly web applications. With expertise in both frontend and backend, I craft seamless digital experiences from concept to deployment.I love turning ideas into reality through clean code, creative design, and problem-solving."

– My Favorite Tools

Exploring the Tools
Behind My Projects

πŸš€ Frontend Development

HTML

98%

HTML

CSS

92%

CSS

JavaScript

80%

JavaScript

React

70%

React.js

Bootstrap

90%

Bootstrap

βš™οΈ Backend Development

Node.js

80%

Node.js

Java

70%

Java

Python

60%

Python

πŸ—„οΈ Databases

MongoDB

80%

MongoDB

MySql

90%

MySql

Postgres

70%

Postgres

πŸ”§ Tools & Version Control

Git

70%

Git

GitHub

90%

GitHub

VS Code

90%

VS Code

– Github

– The Journey
Through Commits

Kanishka Thakur GitHub contributions graph

– Education & Work

My Academic and
Professional Journey

πŸŽ“

Education

2023 - 2028

Indian Institute of Technology, Madras

Bachelors in Science (Data Science)

2022 - 2026

BSA College Of Engineering and Technology, Mathura

Bachelors in Technology (Computer Science)

2022

Shri Ji Baba Saraswati Vidya Mandir,Mathura

12th

2020

Sacred Heart Convent Higher Secondary School, Mathura

10th

πŸ’Ό

Work Experience

May, 2025 - June, 2025

Indian Oil Corporation Limited

Summer Intern

– My Projects

My Work & Creations

Wallet Buddy Project

Wallet Buddy – Expense Tracker

July 2025 – August 2025

Wallet Buddy is a MERN-based expense tracker that helps users manage their daily spending with interactive charts, category breakdowns, and real-time budget insights. Integrated with authentication and APIs, it offers a smooth financial tracking experience.

MongoDB Express React Node.js Chart.js
Global News Project

DataLens– Data Visualization Dashboard

Sept 2025 – Sept 2025

An interactive Streamlit-based dashboard that allows users to upload datasets, explore insights, and visualize trends using dynamic charts, plots, and summary statistics. Built with Python, Pandas, Matplotlib, Seaborn, and Plotly, the app supports real-time filtering, customizable visualizations, and PDF export of reports, making data exploration fast and intuitive.

Python Seaborn Matplotlib
Global News Project

Mood Based Playlist Generator

Sept 2025 – Sept 2025

An interactive Streamlit-based web app that allows users to select their current mood and instantly fetch top YouTube music playlists. Built with Python, Streamlit, and the YouTube Data API, the app features real-time playlist retrieval, thumbnail previews, clickable playlist buttons, and a clean card-style layout.

Python Google API Streamlit