Portfolio - Sanjeeva Reddy Muvva | Codebasics

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Sanjeeva Reddy Muvva

Data Aspirant

EMAIL

[email protected]

PHONE

+91 6304119343

About Me

I’m Sanjeeva Reddy, a data enthusiast focused on building practical, problem-solving applications. My work mainly involves Python, Machine learning, where I enjoy turning raw data and ideas into working systems.

I have experience building projects such as prediction models, Flask-based applications, and data analysis tools. My approach is simple: understand the problem, design a clean solution, and build something that actually works in the real world.

1

Python Project

1

Machine Learning Project

Key Skills

Python

MySQL

Numpy

Pandas

EDA

Data Visualization

Maths & Statistics

My Projects

Awards & Certificate

Python: Beginner to Advanced For Data Professionals

SQL for Data Science

Math and Statistics For AI, Data Science

Master Machine Learning for Data Science & AI: Beginner to Advanced

Let's Work Together!

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

EMAIL

[email protected]

Call Me

+91 6304119343

LinkedIn

https://www.linkedin.com/in/sanjeeva-reddy-muvva-728b85342

GitHub

https://github.com/Sanjureddy-17

Python Project

Expense Tracking System

Domain/Function: Data Analytics

This project is a website where users enter their expenses, and the system stores the data and shows charts so they can understand where their money is going.

View Project
on GitHUB

Expense Tracking System

The above picture shows the entry point of this project website, here user can give the inputs and by using the submit button the details will be saved for analysis.

Expense Tracking System

This shows the Analytics of the given data based on the categories that are available.

Project Details

A web-based expense management application that allows users to record, manage, and analyze daily expenses through an interactive dashboard. The system uses FastAPI for backend API endpoints, SQL for database storage, and Streamlit for data visualization. It enables users to perform CRUD operations on expense records and visualize spending patterns using charts and summaries, helping improve financial awareness and decision-making.

Machine Learning Project

Health Premium Prediction

Domain/Function: Machine Learning/ Healthcare Analytics

The system takes a person’s health and lifestyle information and uses a machine learning model to predict how much their health insurance might cost .

View Project
on GitHUB

View Project
on

Health Premium Prediction

This is the home page of the website, In here user can give the details of the their details for the prediction.

Health Premium Prediction

The Green line is the result/prediction of the given inputs by the user.

Project Details

A machine learning-based system that predicts an individual’s health insurance premium based on personal and health-related attributes such as age, BMI, smoking status, and medical history. The system analyzes historical insurance data, applies preprocessing and feature scaling, and uses trained regression models to estimate the expected insurance premium. The model helps demonstrate how insurers assess financial risk using data-driven techniques.