Vividha

Vividha Rawat

A computer science and engineering student notably interested in software development, machine learning, and deep learning-related roles. I have developed several projects in the given fields and done internships to acquire practical knowledge as well as polish my technical skills. I have also written, presented, and published research papers and blogs related to Artificial intelligence and Machine Learning.

Projects

NOvid-20

Your one-stop solution to COVID-19 queries.HTML, Firebase, CSS, JavaScript, Flask, scikit-learn, Heroku, SciPy, Python, Gunicorn

HashImage

A decentralized, censorship-resistant and image-sharing platform where users can earn in celo cryptocurrency by posting images in the form of art, photographs or even memes.Solidity, IPFS, React.js, Truffle Suite, Bootstrap​, Celo

Skills

Python
R
Data Analysis
Machine Learning
Deep Learning

Experience

  • CODEC Networks - Python Developer Intern
    May 2019 - July 2019
    • Worked with the Development Specialist team to develop a Hospital Database Management system.
    • Used python to develop the backend working and Tkinter package to develop the GUI along with SQL for database management.
  • Career Launcher - AI and ML intern
    April 2020 - June 2020
    • Worked with the Machine Learning Department to study the role of machine learning and data science in Finance.
    • Analyzed and visualized stocks to gain insights by performing exploratory data analysis using pandas and numpy.
    • Predicted calls using regression for Beta calculation, Algorithmic trading using classification and clustering for Diverse portfolio analysis.
  • Major League Hacking - MLH Fellow
    October 2020 - December 2020
    • Collaborated with a diverse team of 10 members to deliver solutions to real-world problems powered by the latest technologies in 6 short sprints of 2 weeks each.
    • Worked on 5 different projects under each of the mentioned themes i.e., Game development, AI and ML, Education, Social Good, Developer Tools, and Productivity followed by a CTF competition under the theme Security.
    • One of the 190 students selected out of over 20000 initial applications worldwide.
  • Shashwat Foundation - AI Trainer
    January 2021 - March 2021
    • Working with senior trainers and mentoring students from all over India to develop AI-enabled projects.
    • Developed and built end to end web applications that leverage Machine Learning and Deep Learning using Flask.
    • Projects developed were part of a National Program for Government Schools: Responsible AI for Youth powered by INTEL and Ministry of Electronics and Information Technology.