About
Machine Learning Enthusiast 🧠& Web Developer
- Website: rajasbharambe.github.io
- City: Pune,Maharashtra,India
- Email: rajasbharambe4@gmail.com
I am Rajas Bharambe, a third year undergraduate at the Department of Computer Science and Engineering at G H Raisoni College of Engineering and Management, Pune.
I am fascinated by all areas of Computer Science and what it can do.
I am currently Technical Head of COMET club,GHRCEM,Pune.
I was introduced to programming right in from childhood and have developed a passion for it since then.
I have always enjoyed Mathematics and Programming and solving real-world problems using that.
I started coding from a very young age.
Interests
- Machine Learning
- Cloud Computing
- Web Development
- Physics
- Cryptography
Facts
Projects
Qwiklabs Certified Badges
Years of Coding Experience
Certifications
Skills
Projects and Key Assignments
ML Trainer Notifier
-> Designed ML notifier that keeps the track of the training an AI
Restaurant Management System
-> Created a GUI website application for a Restaurant Management System with cookie based login authentication
-> The application creates an ordering pipeline (placing an order, alloting to a chef, then served by a waiter) that simulates a real-world restaurant system
-> A customer can view his order history, recommended dishes, filter dishes based on cuisine and budget and place an order, chef/waiter can view profile and complete orders alloted
-> The owner can view and update inventory and employee information, allot orders to chef/waiters and can view analytics and graphs on top dishes, top employees and statistics on profits, expenditure and wastage (Analytics filterable on date ranges)
Spam Email Classification
-> The main focus of this project revolves around the constant issue of modern spam emails and the countermeasure study of spam mail identification.
-> Fraudulent companies, scammers, and robocalls often find a way to get a hold of email addresses somehow and exploit that.
-> As a result, they flood everyone’s email inbox with a myriad of irrelevant information. To counter this exploitation, large corporations have implemented their own email filtering system to detect and identify suspicious emails
Sentiment Analysis by BERT
-> Achieved 91% accuracy in predicting positive/negative sentiments on the IMDB reviews dataset
-> I have used 3 models:1) BertForSequenceClassification (Hugging Face), 2) BertModel (Hugging Face), 3) Pytorch pretrained BERT (not from Hugging Face)
-> Used BERT from the Hugging Face transformers library and Pytorch for preprocessing and funetuning the model
Tic Tac Toe
-> There should be an interactive 3X3 board. (When we say square, we mean those smallest squares)
-> Players have their respective symbol (cross or circle). These symbols will be interchanged after each game (i.e. in the first game, player1 gets cross; in the next game, player 2 gets cross). At the start of every game, cross plays first
->Players play by clicking a square. When one player clicks a free square, their symbol (either a circle or a cross) should appear inside that square. If someone clicks an occupied square, nothing should happen
Score Prediction
Given the Study hours of a student Predicted the Percentage Score he get
To-Do Application
This is a simple ToDo application where the newest To Do tasks are added at the top of the ToDo List.
Dedication
Contact
Location:
Pune,India
Email:
rajasbharambe4@gmail.com