Completed Master's Degree specializing in Machine Learning at KL University, Vaddeswaram, with a CGPA: 8.85.
Completed my Bachelor degree in Computer Science from Andhra Loyola College, Vijayawada (GPA: 6.45)
Excelled in my Intermediate MPC and SSC studies with CGPAs of 8.5 and 9.2 respectively.
HTML, CSS, JavaScript
Flask, FastAPI, ReactJS
MySQL, MongoDB, PostgreSQL
SQLite, SQLAlchemy
Machine learning(ML)
NumPy, Pandas, Matplotlib, Seaborn
Plotly, Scikit-learn
Python, SQL
AWS, Git, GitHub
Data Structures & Algorithms
Software Development Life Cycle (SDLC), Computer Networking
Agile Methodologies, Scrum
The "Blood Group Detection Using Fingerprint" project leverages Deep Learning and CNNs to classify blood groups based on fingerprint images. It offers a non-invasive, reliable method for blood typing through fingerprint feature extraction.
GitHub Repo
This project is a Heart Disease Prediction System that predicts the likelihood of heart disease based on various patient inputs. It uses machine learning models to process patient data and provide a prediction about heart health risks.
A machine learning–based web application that recommends the most suitable crops based on soil nutrients, location, and seasonal conditions. I contributed as a team member, working on the entire ML model, parts of the backend logic, and assisting with frontend integration.
