Romil Shah

About




Myself Romil Shah, currently studying in 4th year, pursuing Computer Engineering, from DJSCoE, Mumbai, India. I am an enthusiast and avid learner, passionate about learning new things. A full stack web developer, with peculiar interest in Data Science and Machine Learning.

I am also passionate about competitive coding and writing. I am currently focusing Machine Learning & ReactJS, and looking for internships in Web Development and Machine Learning.

About

Myself Romil Shah, currently studying in 4th year, pursuing Computer Engineering, from DJSCoE, Mumbai, India. I am an enthusiast and avid learner, passionate about learning new things. A full stack web developer, with peculiar interest in Data Science and Machine Learning.
I am also passionate about competitive coding and writing. I am currently focusing Machine Learning & ReactJS, and looking for internships in Web Development and Machine Learning.

Technical Skills

Programming Languages
  • C
  • C++
  • Python
  • Java
  • JavaScript
Front End
  • HTML 5
  • CSS 3
  • JavaScript
  • Bootstrap 4
  • Materialize CSS
  • ReactJS
Back End
  • ExpressJS
  • NodeJS
  • Flask
  • MySQL
  • MongoDB
  • GraphQL
Front End
  • HTML 5
  • CSS 3
  • JavaScript
  • Bootstrap 4
  • Materialize CSS
  • ReactJS
Back End
  • ExpressJS
  • NodeJS
  • Flask
  • MySQL
  • MongoDB
  • GraphQL
Other Technologies
  • Machine Learning (Scikit-Learn, Pandas, Numpy)
  • Deep Learning (TensorFlow with Keras)
  • TensorFlow - lite
  • TensorFlow js
  • Git

Projects

Artistify

Artistify is a Deep Learning based simple web application, that helps demonstrate and simulate the concept of Neural Style Transfer in Deep Learning, using Tensorflow and Keras.

Technology Stack close
  • Materialize CSS
  • JavaScript
  • Flask
  • TensorFlow
  • Socket.io
Github Technologyunfold_more
Emotion Classifier

Emotion Classifier is a CNN powered classification model, trained on the FER Dataset, with an accuracy of 62%; used to classify facial expressions received live from the web-cam.

Technology Stack close
  • HTML5
  • CSS3
  • Flask
  • OpenCV (Python)
  • TensorFlow (Python)
Github Technologyunfold_more
Water.io

An interactive webapp to predict groundwater level for the user specified region, for upcoming 10 years with a standard error of 0.32, (achieved using ARIMA Model).

Technology Stack close
  • ReactJS
  • Material UI
  • ExpressJS
  • Python
  • MongoDB
Github Technologyunfold_more
CopTime

CopTime is a real time chat application system developed to report crime activities instantly, provide and receive help during crisis and spread awareness related to local crime.

Technology Stack close
  • NodeJS (ExpressJS)
  • GraphQL
  • MongoDB
Github Technologyunfold_more
Online Pharmacy

A complete solution to digitizing your pharmacy store. It is developed with facilities such as Registration, Authentication, Authorization, Email password reset, Prescription Upload, etc.

Technology Stack close
  • HTML5
  • Bootstrap4
  • jQuery
  • ExpressJS
  • MongoDB
Github Technologyunfold_more
Covid19

Covid 19 Global is a global dashboard to visualize the around the globe data. Covid 19 India is an India speific dashboard to visualize the cases across India as they are reported.

Technology Stack close
  • HTML5
  • CSS3
  • JavaScript
  • Materialize CSS
  • Charts.js
Github Technologyunfold_more
Jobbify

Jobbify is an NLP/AI powered smart Webapp and Mobile Application to find the best candidates, thereby helping to ease the recruitment process for the recruitmenter.

Technology Stack close
  • ReactJS
  • React-Native
  • Python
  • Flask
  • SQLite
Github Technologyunfold_more
IYF

Developed a complete webapp for digitizing the registration and management operations for an NGO. Implemented email notification and PDF certificate generation.

Technology Stack close
  • HTML5
  • ReactJS
  • Material UI
  • ExpressJS
  • MongoDB
Github Technologyunfold_more
Socialize - Your Quarantine Buster

Socialize, is a webapp with features of WhatsApp, Instagram & Facebook all built up into one. Implemented features like friend recommendation, chatting and file sharing.

Technology Stack close
  • HTML5
  • CSS3
  • JavaScript
  • Java (SpringBoot)
  • SQL
Github Technologyunfold_more

Work Experience

Tata Consultancy Services | ML Project Intern December 2019 - February 2020
Tata Consultancy Services
ML Project Intern
December 2019 - February 2020

Interned at Tata Consultancy Services as a Machine Learning Project Intern, successfully completing a major Machine Learning project to tackle a real world business problem, for the period December, 2019 to February 2020.

Junkminds | Content Writing Intern July 2019 - September 2019
Junkminds
Content Writing Intern
July 2019 - September 2019

Interned at Junkminds.com as a content writer, developing content for their portal (junkminds.com), for the subject Big Data and Analytics, during the period July, 2019 to September, 2019.

Courses

Certifications

  • description Machine Learning
    Successfully completed the Machine Learning from Stanford University on Coursera, in May 2020.
  • laptop_chromebook Specialization: Deep Learning
    Successfully completed the Deep Learning Specialization from deeplearning.ai on Coursera, in June 2020.
  • description Specialization: TensorFlow in Practice
    Successfully completed the TensorFlow in Practice Specialization from deeplearning.ai on Coursera, in May 2020.
  • laptop_chromebook AI For Everyone
    Successfully completed the AI For Everyone from from deeplearning.ai on Coursera, in May 2020.
  • description Specialization: Improve Your English Communication Skills
    Successfully completed the Improve Your English Communication Skills Specialization from Georgia Institute of Technology on Coursera, in July 2020.
  • laptop_chromebook Algorithmic Toolbox
    Successfully completed the Algorithmic Toolbox from University of California San Diego on Coursera, in May 2020.
  • description The Science of Well-Being
    Successfully completed the The Science of Well-Being from Yale University on Coursera, in June 2020.