I'm Nitin Asthana

Computer Engineering Grad Student, Software Developer, Travel Enthusiast

Name: Nitin Asthana

Prolife: Grad Student

Linkedin: nitin22asthana

Mobile: (+1) 603-202-8202

Download Resume: resume.pdf

Skills

Java
Python
HTML5 | CSS3
JavaScript | Node.js
Android App Development
Microsoft Office | LaTeX
ABOUT ME

Hello! I'm Nitin Asthana. I am a Computer Engineering Graduate Student at State University of New York at Stony Brook, New York.

Prior to joining this, I completed my bachelor's from SRM Institute of Science and Technology, Chennai in India in Electronics and Communication Engineering. I got a chance to work on several real-life application projects in my undergrads. While working, I realised I am more inclinded towards the software domain. In order to gain more in-depth knowledge, I decided to pursue higher education.
I am interested in learning new tools and technologies. I am very much passionate to work in backend technologies and in the free time I like solving problems and doing coding in Java.

When not coding, I like to travel alot and explore new places. I am a "Tea" person and always ready to catch-up with friends for a cup of tea. ☕

EDUCATION


STATE UNIVERSITY OF NEW YORK at STONY BROOK

Pursuing Master of Science in Computer Engineering.
Postions: Graduate Teaching Assistant.
Semester 1 gpa: 3.5/4
Semester 2 gpa: 4/4
Total CGPA: 3.71/4


SRM INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI

Completed Bachelor of Technology in Electronics and Communication Engineering.
Positions:
1) Event Coordinator in Aaruush (TechnoManagement Fest)
2) Volunteer in Milan (Cultural Fest)
Graduated with the cgpa of 8.13/10 (First class with distinction)


DELHI PUBLIC SCHOOL, BHOPAL

Completed high school diploma certificate.
Major: Mathematics, Physics, Chemistry and Computer Science.
Grades: Class 12th: 86.2% and Class 10th: 8.8 cgpa
Activities: Active member in sports clubs and cultural events.

PROJECTS (Academic / Personal)

Chat Application

The application supports real time data transfer allowing the user to create a chat room. The application supports features like displaying the total number of users in the room, giving notification when a new user joins or leave and sharing the location of the user if he wants to. Moreover the application restricts the use of negative words in the chat room
Link: Website Link
Stack: JavaScript, Node.js, Socket.io, Heroku Cloud Platform

June 2020

HELP FOR ALL

Developed an online platform for matching donation related resources like food, clothing etc.using relevant tweets. The website lists donation/request tweets location wise, based on search.
Implemented Naive Bayes Classifier for classification of tweets (Donation/Non-Donation, Donor/Requester & Re- source Type classification), with an accuracy of 80%, after parsing them using standard NLP techniques.
Link: Website Link
Stack: Python, HTML/CSS/JavaScript, Flask, Heroku Cloud Platform

Apr 2020 - June 2020

Speech Recognition using Machine Learning

Implemented speech to text conversion using Convolutional Neural Network. Implemented the model successfully on tensor flow dataset containing 64k audio files.
Language: Python

Apr 2020 - May 2020

Covid-19 Tracker

Made an android app which gives the real time count of Covid cases around the world, allows the user to feed his travel history or display the no. of people having travel history and tell the level of safety based on the collected data.
Stack: Java, XML, Google Cloud Platform, Android Studio

Mar 2020 - May 2020

GMM-Clustering Algorithm

Applied GMM clustering algorithm on Iris dataset and compared the results with KMeans clustering algorithm. Image identification was also done as an application of GMM algorithm
Language: Python

Apr 2020 - May 2020

VLSI Physical and Logic Design Automation

Designed VLSI design tools and implemented NP hard problems from scratch.
The algorithms includes, Fiddccia-Mattheyses Partitioning, Placement and Routing algorihms.
Language: C++

Feb 2020 - May 2020

Multiple Linear Regression Logistic Regression

Build the regression model and implemented ML tasks such as prediction, feature reduction and evaluation of residual plots on Boston Housing dataset and NYC Airbnb dataset from Kaggle. Also, implemented two class classification using logistic regression on the Breast Cancer dataset.
Language: Python

Feb 2020 - Mar 2020

Task Manager Rest-API

The API supports create, update, read & delete user and add tasks along with user authentication with email and password, database data storage for user data, file upload support (images, documents and pdf) and email notification.
Stack: Node.js, Postman, MongoDB Compass, Robo-3T, SendGrid, Heroku

Feb 2020

Weather Website

The API supports create, update, read & delete user and add tasks along with user authentication with email and password, database data storage for user data, file upload support (images, documents and pdf) and email notification.
Link: Website Link
Stack: JavaScript, Node-JS, Heroku cloud platform, weather API, location API, HTML / CSS, git

Dec 2020

Notes Taking App

This is a notes-taking app. It allows the user to add, delete, read and list notes. It also supports notes with different colors and format.
Stack: JavaScript, Node.js

Dec 2020

Detection of Malaria from blood smear using Deep Learning

A malaria detection application that uses the image of the thick blood smears of the patient and classifies it bases on the pre -trained data set using keras to determine if the patient is infected or not. It also provides alert to the patient and the concerned health department. The dataset was obtained from the National Library of Medicine.
Language: Python

Oct 2019 – Dec 2019

Smart IoT Enabled Intelligent - Health Medicine Device

A health application devised to keep the track of the medicine history of the elderly patients and remind them to take the medicines on time using an alarm. The device can alert the caretaker via text message and email. The data of the device can be accessed using the IoT platform called UbiDots. The device was created Arduino mega, GSM modules and some sensors.
Stack: Java (Arduino IDE), Python, Ub-Dots IoT Cloud Platform

Jan 2019 – May 2019

IoT Device for Sewage Gas Monitoring and Alert System

sewage detection and monitoring system was created using Arduino UNO, GSM modem, and various sensors. It collected gas ppm values using the sensors. These values were updated using HTTP protocol to ThingSpeak IoT platform and the data was visualised in real time. Threshold detection was applied to enable text message alerts monitor the poisonous sewage gases.
Stack: Java (Arduino IDE), Python, ThingSpeak IoT Cloud Platform

Jan 2018 – Apr 2018

Publication

Conference: 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)
Name:IoT Device for Sewage Gas Monitoring and Alert System
Publisher: IEEE Xplore Digital Library
Link: ieee.org
DOI: 10.1109/ICIICT1.2019.8741423

June 2019