
Classification of Cancer using deep learning architectures |Deep learning and Machine learning:
Built a model with a team of three members, which will classify various cancers by using CNN
architectures. In this project I built a deep learning model to find weather a person is suffering
from a cancer or not by predicting the images with in 8 classes.
Intraintech Data Analyst – Wildlife Trafficking Analysis. |numpy, pandas, seaborn, mathplotlib:
This project utilizes data analytics to uncover patterns and trends in wildlife trafficking,
leveraging machine learning to identify key trafficking routes, hotspots, and impacted species.
Through comprehensive data collection and analysis, it aims to assess the socio-economic and
environmental impacts of trafficking, providing insights to inform evidence-based policies for
conservation and enforcement agencies worldwide.
MUSicPE| MERN:
The application a web-based Music player is built with the help of React JS for the frontend
development, Express and Node JS for the backend connection supported with NoSQL Mongo
Database. We deployed our project using Render and Vercel services.