Hello, I am a final-year engineering student with Python, machine learning, Deep Learning and C++ expertise. I am also well-versed in web frameworks like Flask, and Django and libraries like React to create full-stack applications. I am also learning MLOps currently. I have also created various machine-learning models and some projects with python.
Projects
Financial Fraud Detection
Classifier system for fraud detection in financial management environmentFlask, scikit-learn, NumPy, pandas, Heroku, Matplotlib, Git, Python, Tailwind CSS, pickleFittastic
Fitness has never been so fantasticReact, Firebase, JavaScript, Flask, Machine Learning, Heroku, Python, Flutter, Netlify, Tailwind CSSmuse-FT
Listen To, Sing Along and Amuse Yourself with our selection of Musical NFTs!Solidity, Firebase, Visual Studio Code, MetaMask, Infura, Flutter, Data Science, Remix IDE, EthereumIncento
Promotional Engine for Generation and Maintainance of Coupons/Discounts along with Analytics of the sameBootstrap, React, Node.js, Flask, Postman, Android SDK, Flutter, MongoDB, Material-UI, SMTPSkills
Python
C++
Machine Learning
Deep Learning
React.js
Experience
- Feynn Labs - Machine Learning Intern
December 2021 - Present
Project 1: Business Prototype Model - Customer Shopping Basket Analysis using Association Rule Mining for Small Grocery Shops and Vendors
- Juppiter AI Labs - Junior Machine Learning Engineer
August 2022 - November 2023
Collaborated on an email monitoring project using Computer Vision, NLP, Azure OCR, and Email SMTP to create a functional script
Created Hands-On Labs, Capstone projects and their Unit Tests for KnowledgeHub's(UpGrad) course on MLOps using Python and Machine Learning