Passionate Machine Learning and MLOps enthusiast with a strong foundation in Computer Science. Experienced in developing ML models, implementing MLOps practices, and creating web applications.
C/C++, C#, Python, JavaScript, TypeScript, MATLAB, HTML, CSS
Pandas, Numpy, Scikit-Learn, OpenCV, PyTorch, TensorFlow, Matplotlib, Seaborn, NLTK
Docker, React.js, Node.js, MongoDB, Git, Unity, Azure, mlflow, ZenML, Flask, Dagshub, Firebase, Django, Flutter, Linux
Bangalore, India
B.Tech in Computer Science and Engineering
Open Source Project Initiative
Bangalore
Data Science Intern
Bangalore, India
Research Intern
Bangalore
Cropify is a web application built using React.js, Flask & Machine learning models in the backend
1. Credit Card Fraud Detection 2. Customer Satisfaction. Used pipelining, DagsHub, ZenML, mlFlow
1. Wine quality 2. Kidney disease classification. Data Ingestion, Data Validation, Data Transformation, Model Training, Prediction Pipeline
Built a Regression model for a particular dataset with all the statistical analysis
Won 1st place in the hackathon organised by CIE PESU held for 4 weeks (Apr 2024)
Organised "AppGenesis," an ideation event, served as a mentor for the same, providing guidance and support to participants throughout the event
Organized "Crayion", a hackathon event focused on image generation using advanced models such as DALL-E and Midjourney