Hi, I'm Bhushan

Front-End Developer
React Developer

Experienced front-end developer with 1.4 years of experience in crafting seamless digital experiences using HTML, CSS, and JavaScript. Dedicated to continuous learning and staying updated with the latest trends. Eager to contribute to innovative projects and drive positive change in the digital realm.

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About Me

A brief introduction

Hi there, I'm Bhushan Ashok Chaudhari, a dedicated front-end developer fueled by a passion for crafting compelling digital experiences. Graduating with a Bachelor of Engineering in Information Technology from Prof. Ram Meghe Institute of Technology and Research in Badnera, Amravati, marked the beginning of my journey in the tech realm. Joining Hectranet as a Front-End Developer from March 2022 to July 2023 allowed me to sharpen my skills, particularly in HTML, CSS, and JavaScript development. Despite a career transition thereafter, I embraced the opportunity to sharpen my skills in React through self-directed learning and hands-on projects.

I also have a blog where I post all the topics I study. Basically it's a place where all my knowledge (of relevant topics) is. To access it, just click here.
If you want to know more about me, feel free to contact me.


Skills

A little bit on my technical level

Development

React.JS

HTML

CSS

JavaScript

PHP

Python

MySQL

Qualification

My personal journey
Education
Work

School

Dnyamnata High School
2012 - 2013

Junior College

Vidyabharati Junior College, Amravati
2013 - 2015

Graduation

Prof. Ram Meghe Institute of Technology and Research Badnera, Amravati
2015 - 2020

Internship

IITK Kanpur
March - 2020 to July 2020

Software Engineer

Hectranet Solutions Pvt. Ltd
March 2022 - July 2023

Portfolio

Click here to see all.

Image Caption generation using LSTM

Generating sequential text from image encodings to create caption suitable for the given image. Evaluated using BLEU Score

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Movie Recommendation System Using Collaborative Filtering

Created a web application using Python, Flask, and SQL to store user data information. We then derive recommendations using Collaborative Filtering. Various libraries like Jupyter, Pandas, matplotlib, and Seaborn were used and the Kaggle dataset to download movie data.

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Contact

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