eshan-agarwal Goto Github PK

followers: 45.0 following: 22.0 repos: 74.0 gists: 13.0

Name: Eshan Agarwal

Type: User

Company: Software Developer Engineer I

Bio: Engineering @ Expedia Group | DSA Mentor @ upGrad

Twitter: Eshan__Agarwal

Location: Gurgaon - IN

Hi Developer, I'm Eshan

Who Am I ?

Explore Me

I am Eshan Agarwal, Graduated from GGSIPU, New Delhi, majored in EEE with 8.2 CGPA
Currently I am SDE1 - Backend @ Expedia Group, where I am trying to make travel easy by providing post stay experience
I am passionate coder with coffee and stylus on my desk
Also I am DSA Mentor at upGrad, where I am sharing my coding knowledge with students
I am from Rajasthan, Bikaner, and I love Rajasthan for their culture, forts and royalty.

Graduated from GGSIPU 👨‍🎓

Aug 2017 --- Aug 2021
Majored in Electrical & Electronics Engineering

Work Experience

Software Developer Engineer I @ Expedia Group

Jan 2022 --- Present
Working with Post Stay Experience Team
Working as Backend Engineer, on DropWizard, Sprint Boot, REST, GraphQL, Postres SQL stack

DSA mentor @ upGrad

Jan 2021 --- Present
Teaching Data Structures and Algorithms in Java and Python
Have Experience of handling batch of 80 students from LPU, , mentoring in their learning, development and implementation of projects
Sampled all DSA foundation Content of UpGrad.

Associate Software Engineer @ Indus Valley Partner

July 2021 --- Jan 2022
IVP Data Warehouse (Polaris) makes it easy for asset managers to collate, cleanse, enrich, and manage enterprise data from internal systems, fund administrators, brokers, counterparties, and third-party systems.
Worked on JavaScript(ES6), React.JS, JQuery, ASP.Net, C#, SQL Server tech stack.
Debugged various day-to-day issues faced by IVP clients in various Polaris versions.
Developed Configurations screen for Polaris Excel Addin plugin and Compliance module.

Hobbies

Competitve Programming
Opensource 👨‍💻
Eating and Gymming
Gaming
Music

Languages, Tools and Technologies

Eshan Agarwal's Projects

-stack-overflow-tag-prediction

3-d-animation-cube-using-html5-css3

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

advance-machine-learning-coursera

ai-for-medicine-specialization

This repo contains assignments and all workbooks of course AI For Medicine Specialization by deeplearning.ai

amazon-fashion-discovery-engine-content-based-recommendation-

amazon-future-engineering-may-batch-java

aml-specialization-exercises-coursera

Solved programming exercises from the Advanced Machine Learning specialization by National Research University on Coursera.

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

bmi-calculator

Simple React Web App which Calculates BMI

categorical-encoding

A library of sklearn compatible categorical variable encoders

crown-clothing

This is an E-Commerce Website for clothes

For Data Visualization , one of the best dimensional reduction algorithm is TSNE. Here I use AMAZON FINE FOOD REVIEWS and perform TSNE algorithm on Text features by converting them in vectors using BOW, TFIDF, AVG-W2V & TFIDF-W2V

datasets

TFDS is a collection of datasets ready to use with TensorFlow

deeplearning.ai_assigments

Complete Assignments of Andrew NG course

deeplearningcourse

A Deep Learning Course For Humanists and Social Scientists

densenet-on-cifar-10-

In this repository we are going to implement Dense Net architecture from scratch on CIFAR-10 data-set

discussion-forum

This is a simple discussion forum based on principle of OOPS

dlaicourse

Notebooks for learning deep learning

docs

TensorFlow documentation

donor_choose-various-models-

DonorsChoose.org receives hundreds of thousands of project proposals each year for classroom projects in need of funding. Right now, a large number of volunteers is needed to manually screen each submission before it's approved to be posted on the DonorsChoose.org website. Next year, DonorsChoose.org expects to receive close to 500,000 project proposals. As a result, there are three main problems they need to solve: How to scale current manual processes and resources to screen 500,000 projects so that they can be posted as quickly and as efficiently as possible How to increase the consistency of project vetting across different volunteers to improve the experience for teachers How to focus volunteer time on the applications that need the most assistance The goal of the competition is to predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions as well as additional metadata about the project, teacher, and school. DonorsChoose.org can then use this information to identify projects most likely to need further review before approval.