Hi I'm
HARSH DIGWANI

I'm self taught programmer
Great Problem Solver &
Full stack web developer

Profile
About Me

Hello! I'm Computer Science & Engineering Student based in MP, India. I'm passionate about coding and building cool stuff also design and develop web applications with pixel-perfect user interface and having great sense of UI/UX, backend developement. With experiance in writing clean and efficient code.

Here are few technologies I've been working with:

My Work

Gokart - E Commerce App

Gokart an E-Commerce application which solves the problem of finding the best deals on electronic products near you using user's location. It is a modern Single Page Application (SPA), developed with best practice of web development including MVC architecture, distributed Micro-Services to achieve scalability, Load Balancer for distribution of user's requests and Responsive Design.

Angular(2+) | Bootstarp | NodeJS | ExpressJS | MongoDB | MySQL

Factract - Fact Extractor

A tool is designed and deployed to overcome the problem of extracting facts of a Wikipedia article which is one of the world's largest resources of information. It is an Natural Language Processing based web application which uses Machine Learning technique to extract facts from an article. It was a group project for minor project submission. My contribution in this project is I have developed an algorithm using TFIDF technique to find the importance or relevance of sentences and design the user interface of the web application.

Python | Flask | Natural Language Processing | Machine Learning

Other Noteworthy Projects

My Portfolio v1

Design my very first Portfolio in HTML, CSS and Bootstarp which is responsive for any size of devices and hosted it as static website on github.

HTML, CSS, Bootstarp

Sentiment Analysis of Amazon Reviews

Performed Sentiment analysis of Amazon-fine-food-reviews dataset using TFIDF technique and plot data in 2D using t-SNE technique.

Python, Machine Learning, Natural Language Processing

Hand Written Digits Recognisation

Implemented very first machine learning classification algorithm to predict hand written digits using MNIST data-set. Used Principal Component Analysis (PCA) and t-Stochastic Neighbourhood Embedding (t-SNE) algorithm for data visualisation in 2 Dimension.

Python, Numpy, Pandas, Matplotlib, Sci-kit Learn

Linear Regression algorithm from scratch

Implemented very first machine learning regression algorithm to predict the score of student based on the hours of study. Re-write complete Linear Regression Algorithm from scratch in python.

Python, Machine Learning

Bike Sharing Demand Prediction

Develop a machine learning model for predicting the demands of bike sharing using Multivariate Linear Regression and improved the performance of model using L1 and L2 Regularisation or known as Lasso and Ridge Regression.

Python, Linear Regression, Machine Learning

Reach Me Out!