Web Developer, My Skills are :- Core Java, Javascript, mongodb, HTML

Navneet Kumar Choudhary

Haldia Institute of Technology

*************@*****.*** 946*******

EDUCATION

HIT

B.Tech in Computer Science

CGPA - 7.93

****-**** **** ******, *****

JESUS ANDMARYACADEMY

Class XII

2016 Bihar, India

Percentage: 79.40%

RRPS

Class X

2014 Bihar, India

CGPA - 9.4

LINKS

Github:// navneet-kumar-choudhary

LinkedIn:// Navneet Kumar Choudhary

LeetCode:// navneet2411

SKILLS

PROGRAMMING

Over 5000 lines:

• Java

• Data Structure and Algorithm

• Web Development

• Deep-Learning

DATABASE

• MySQl

• MongoDB

FAMILIAR

• HTML

• CSS

• Javascript

• Github

INTERESTS

• Coding

• Traveling

• Cricket

PROJECTS

CRICINFOWEBSCRAPING

• Build a web scraper that scrapes the details from cricinfo.com.

• Request package was used to make parallel requests to the server and cheerio was used to extract data out of it.

• Node.js fs module was used to create a table of team score in the series, last ball commentary and most run in the match.

AUTOMATED HACKERRANK PLATFORM

• Wrote a javascript code to automatically login to hackerrank, selects create contest and then submits all necessary details of content.

• Here I have used Puppeteer to interact with my chrome browser and also implemented my knowledge of callback functions, callback hell and asyn-await.

EPIDEMIC PREDICTION

• Build a deep learning model which helps us to predict the direction of epidemic spread on a real time basis, I have used web crawling techniques to extract data from various sites which has been used as input to the deep learning model.

•The algorithm used in model are softmax activation( used as classifier), Adam optimization, Normalization( to reduce cost function for faster learning) and Xavier initialization( used to initialize parameters).

DISEASES PREDICTOR

• This model predicts the disease of a patient after analysing the cbc report of that patient and thus can help the patient with right kind of treatment of his disease.

• Algorithms used are Gradient descent, Xavier initialization, L2 Regularization, Principal component Analysis and Normalization.

CAT COMMAND

• Build a command in windows to display a text file( single or multiple).

CERTIFICATE

•Completed course on Neural Network and Deep Learning from Coursera.

•Completed training on Core Java from Unnati software.

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