Anshum Gill

Hi! I'm a B.Tech CSE Graduate currently working at Hughes Systique as an Engineer Trainee. I have knowledge in various domains such as ML, Deep Learning, Neural Networks, Frontend Development, IoT etc. I've done most of my development in Python but am open to learn any language.

Things I've Worked On

If you think I'll be a great addition to your team
Here's my resume.

Pneumothorax Identification

Internship project in which Image segmentation was performed on a dataset consisting of Lung X-rays and masks were drawn for predicted areas of Pneumothorax in the X-ray using Encoded UNet Network.

Deep Learning

ResUNet

Image Segmentation

Keras

Image Classification

Image Classification was performed using Random Forest and SVM Classifier on 200 photos of flowers clicked personally containing 10 classes each with 20 pictures.

Python

Machine Learning

Random Forest

SVM

Logistic Regression

Ecommerce Website

Django based ecommerce website. This was my first website which I developed on Django framework. Decided to learn Django and make an ecommerce website for my mother's bakery.
This was hosted on an EC2 instance on AWS where requests were handled by uWSGI and NGINX.

Django

NGINX

uWSGI

PostgreSQL

2FA

RazorPay

MailChimp

Web Dev Projects

NB Living

Ecommerce Website developed on Shopify Platform from scratch.

VS Munro Designs

Showcase website developed in Angular.

Awsum

Ecommerce Website developed on Shopify Platform from scratch.

Mehak Spices

Showcase website developed in Angular
(Under Development)

Angular

Shopify

PayU

HTML

CSS

Git

Netlify

Voting Application

An application where users can cast vote online. Can be scaled from inter company voting to local or national government elections. Blockchain is used to cast and verify votes to make it secure. Frontend is developed in Django.

Django

Python

Blockchain

Truffle Suit

HTML

CSS

Global Warming Assessment

Using the GlobalLandTemperature Dataset from Kaggle change in Average Land Temperature a Regression Model was made for India with the help of which predictions were made for the future.

R

Machine Learning

Regression

EDA Projects

EDA was performed after data preprocessing and cleaning to find relevant correlations.
First was Ecommerce Dataset in which Yearly Amount Spent was derived as an equation of other relevant columns such as Avg. Session Length or Length of Membership.
Second was Startups Dataset in which Profit was derived in terms of R&D and Marketing.

Python

EDA

Pandas

Numpy

Regression

Movie Ticket Reservation System

A Movie Ticket Reservation System GUI application was developed in Python using Tkinter with database in SQLite as a college project.

Python

Tkinter

SQLite

GUI