Pooja Bhagat
Software Engineer
Software Engineer
A highly motivated and skilled Computer Engineering graduate from Lokmanya Tilak College of Engineering in
Koparkharine, Navi Mumbai.
With a specialization in Computer Engineering and a CGPA of 9.73.
I have developed projects on Web development, Machine Learning & Deep Learning.
Passionate about learning and implementing new technologies, I aspire to secure a position in a
reputable organization where I can contribute my skills and expand my career.
In my free time, I enjoy reading books and experimenting with cooking.
Vidya Prabodhini English School
(SSC board)
Year of completion: 2017
Percentage: 86.20%
Vidya Prasarak Mandal Jr. College Of Science
(HSC board)
Year of completion: 2019
Percentage: 82.31%
Lokmanya Tilak College of Engineering (Mumbai University)
2019 - 2023
CGPA: 9.73
| Languages: | C++ & C Prog. | Python | Java |
| Web Development: | HTML & CSS | Django & Flask | JavaScript |
| Database: | MySql | Php | |
| DataSturctures & Algorithms | GitHub |
Nov 2022 – March 2023
CheckMyAnswer uses Machine Learning and BERT Transfer Learning technology to automate the evaluation of Subjective Answers given by students and model answers given by teachers.
Mar 2022 – April 2022
News Classifier App that appropriately classifies a news article as real news or fake news using Deep Learning LSTM and model is deployed using Flask
Nov 2021 - Jan 2022
Kidney, Heart and Diabetes Disease Detection website, model will use machine learning to predict the results, it is an end-to-end website deployed using Azure Cloud services.
Sep 2021 - Oct 2021
An E-commerce website developed using backend Django Python framework and JavaScript, CSS, and HTML is optimized for smartphones, secure, navigation to the products page and the shopping cart.
Oct 2021
Using Python Machine Learning Content Filtering - Cosine Similarity algorithm and for movies Tmdb API and Streamlit created a web app and deployed it on Heroku.
DeDrowse App
May 2021 - Jun 2021
DeDrowse is a project that monitors the user's eyes using a camera. It alerts the user with beeping sounds and on-screen messages when drowsiness is detected.
Aug 2021 - Sep 2021
Learned Python, Technical tools like NumPy, pandas, Scikit learn, NoSQL database. Created Inventory Management System in Python, Car Manufacturing Analysis, Summer Olympics Analysis, and Breast Cancer detection using Deep learning and neural network.
Oct 2021 - Dec 2021
During this internship created a web-based app to detect three different diseases using machine learning and successfully deploy it on Azure as a website which is a flask app HealthCare.
