Hey, I'm Kushagra Sinha β€” |

Welcome to my portfolio website β€” explore my work, skills, and projects.

πŸ‘¨β€πŸ’» About Me

Hey there! πŸ‘‹ I'm Kushagra Sinha β€” a passionate Software Engineer πŸ’» who specializes in Web Development 🌐. I turn ideas πŸ’‘ into reality using clean code, modern tools, and a lot of enthusiasm πŸš€. With a deep love for creating beautiful, functional, and user-friendly digital experiences ✨, I bring both logic and creativity to the table. Whether it's a responsive website πŸ“±, a full-stack app βš™οΈ, or a smooth UI animation πŸŒ€ β€” I'm all in!

Education

2021 - 2025

Bachelor of Engineering (CSE)

Chandigarh University, India

CGPA: 8.9/10
2018 - 2020

Intermediate

S.T.S.V International Sr. Secondary School

Percentage: 74.8%
2017 - 2018

Matriculation

S.T.S.V International Sr. Secondary School

Percentage: 73.4%

Services

Web Development

Building responsive and modern websites using HTML, CSS, and JavaScript.

App Development

Creating Apps optimized for all devices and screen sizes.

Creative Solutions

Innovative problem-solving and clean code to bring ideas to life.

Skills

πŸ’Ό Experience

Duration: 27 May 2025 - Present

Currently working as a Data Analyst at eClerx, where I specialize in extracting actionable insights from large datasets, automating reporting processes, and supporting business decisions through data visualization and analysis.

πŸ“„ Offer Letter

πŸ“„ Resume

Here’s a quick overview of my professional background. Feel free to download my full resume below.

Download Resume

Research Publication

AI-Powered real estate price prediction system: A flask-based web application for machine learning-driven property valuation

Published in the Progressive Computational Intelligence, Information Technology and Networking.

Real estate pricing is a complex task influenced by various dynamic factors such as location, property features, market trends, and economic conditions. Traditional valuation methods often rely on subjective appraisal or limited datasets, leading to inconsistent or inaccurate results. This research presents an AI-powered system that utilizes machine learning models integrated within a Flask-based web application to provide accurate and scalable real estate price predictions. The proposed system aims to enhance decision-making for buyers, sellers, and real estate professionals by delivering data-driven property valuations with real-time interactivity.

When visited the webiste click on table of contents, then go to content number 124. View Publication

Projects

Weather Forecasting Application

This website helps to predict the weather factors, as it also helps to forecast the weather factors for next 15 days, you can check the climate, humidity, air speed etc. in this application over the world wide.

Technologies: HTML, CSS, JavaScript

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Fitness Tracer

This app allows you to track diverse activities, record durations, and customize your fitness routine. To get started, clone the repository, open index.html in your browser, and embark on your fitness journey. Let's stay fit together! πŸ’ͺ🌟

Technologies: React Native, Firebase

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AI Supported Buddy

An android application designed to find all AI website, apps present in the market, it also filters the category of the AI according to your wish

Flutter, Dart, Power-BI

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Real-Estate Price Predictor System

So guys this is a website to predict the price of the property for the location of banglore, it takes some inputs from user then provide you the estimated price of the property

HTML, CSS, JS, Python Flask, React, Excel

View Project

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