Specifications : Machine Learning , Predictive Analytics
Skills
Python, R, SQL, Pandas, NumPy, Power BI, Time Management, Problem-Solving, Communication,Languages
English, Malayalam, Hindi,Hobbies
Programming , Editing , Travelling , Music , Sports
Summary
I am a highly motivated MSc Data Science student with a solid foundation in statistical modeling, data analysis, and machine learning. My academic experience, complemented by hands-on projects, has equipped me with proficiency in Python, R, SQL, and various data visualization tools. I am passionate about applying data-driven approaches to solve complex challenges and am eager to contribute my expertise to dynamic, innovative projects in a professional setting. I am now seeking a placement where I can further develop my skills and make meaningful contributions.
Education History
Projects
ClickFix is an innovative platform developed to simplify and streamline the process of finding and booking reliable home services. The application is built using the Django framework, providing robust and scalable web application development. The frontend is crafted with HTML, CSS, and JavaScript, ensuring a responsive and interactive user experience. The backend is powered by Django, facilitating efficient server-side operations, while PostgreSQL is utilized for secure and reliable data management. Technology used
Amrita Molecular Descriptor Calculator for Drug Discovery
- Backend: Django (Python) , Streamlit
- Frontend: HTML, CSS, JavaScript
- Database: PostgreSQL
Working on going project and developing an intelligent hospital management and patient care system that integrates machine learning to optimize healthcare services. The web-based platform features disease prediction based on patient symptoms and medical history, personalized prevention techniques, and medication recommendations. It streamlines appointment scheduling with nearby doctors, reducing patient wait times, and sends regular health checkup alerts. The system securely stores electronic health records and user details, while providing admins with a comprehensive dashboard for visualizing and analyzing patient data. This project aims to enhance hospital efficiency and patient well-being.
Let us dream project aims at analyzing a three day conference data. We used various technologies like python to get meaning full insights. We have also used sentiment analysis to extract emotions from the feed backs given.