Create your own Devfolio?
viveknigam3003

Vivek Nigam

Working in the fields of Machine Learning and Data Science with mathematical and computer science background. Looking for research opportunities in Artificial Intelligence and Machine Learning.
Proficient with languages like Python, R, C, and JAVA.

Projects

Gromnom

We are creating a food pooling app which will bring foodies together.Firebase, Flask, Dart, Flutter

Shatranj

The classic game of chess with a modern prize for winning. Play with $ASHF, winner takes it all.Solidity, React, MetaMask, Next.js, Socket.IO, Python, ethers.js, PostgreSQL, TypeScript, Polygon

Shatranj

The classic game of chess with a modern prize for winning. Play with $ASHF, the winner takes it all.Solidity, React, MetaMask, Next.js, Python, TypeScript

Skills

Node.js
TypeScript
Redux
React.js
Next.js

Experience

  • Indian Institute of Technology - Summer Research Fellow
    May 2019 - July 2019

    • Indian Academy of Science’s Summer Research Fellow (SRF)
    • Worked under Prof. K.S. Mallikarjuna Rao, on a research project titled ‘Strategic Aspects of Linear Regression’
    • Completed a 24-Page Research Report with the same title.
    • Studied Linear Algebra, Probability, Statistics, Game Theory (Non-Cooperative Strategic Form Games and Nash Equilibrium) and Machine Learning algorithm (Linear Regression) with research point of view.
    • Gave weekly presentations on research progress to the faculty, PhD research scholars and fellow interns.

  • Linux World Informatics Pvt Ltd - Research Intern
    January 2018 - February 2018

    • Worked under the direct guidance of Mr Vimal Daga. Prepared for Red Hat Certified System Administrator (RHCSA) Certification exam and gained hands-on experience with several latest technologies.
    • Worked with a randomly allocated team of 4 people.
    • Developed a speech operated system to setup (and reset) Hadoop HDFS and Map Reduce clusters and made it scalable using RedHat Ansible Automation and server-client topology.
    • Developed an intelligent budget tracker to predict monthly savings and analyse the expenditure trends of college students using machine learning algorithms and exploratory data analytics.