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Prince Verma

Data Science Enthusiast

EMAIL

[email protected]

PHONE

+91 7654948708

Download CV

About Me

I'm Prince Verma, an undergraduate at IIIT Bhagalpur, deeply passionate about Data Science, Machine Learning, and Problem Solving. With a strong foundation in Python, DSA, and core ML concepts, I enjoy transforming data into actionable insights and building intelligent systems that address real-world challenges.

I thrive on continuous learning, hands-on projects, and simplifying complex problems. Beyond the classroom, I actively explore how data can power impactful solutions — whether it's predicting costs or uncovering patterns.

1

Python Project

1

Machine Learning Project

Key Skills

Programming Languages : Python, C, C++, SQL

Data Science & ML Data Analysis, Data Visualization, Machine Learning, Regression, Classification, Model Deployment, REST APIs Libraries: NumPy, Pandas, Matplotlib, Seaborn, scikit-learn

Tools & Frameworks Jupyter Notebook, VS Code, Git & GitHub, Streamlit

My Projects

My Experience

Data Science Project: Premium Health Insurance Cost Predictor, Expense Tracking System – Full Stack Project

Member –Reflection, Cinemara Club, IIIT Bhagalpur

Contributed to photography and short-film activities; improved skills in visual storytelling and content creation.

Awards & Certificate

Python: Beginner to Advanced For Data Professionals

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 7654948708

LinkedIn

https://www.linkedin.com/public-profile/settings?trk=d_flagship3_profile_self_view_public_profile

GitHub

https://github.com/princeVerma73

Python Project

Expense Tracking System

Domain/Function: Finance / Budget Management / Web Application

A full-stack web application that helps users track and visualize their daily expenses. Built with Streamlit (frontend) and FastAPI (backend), it supports category-based filtering and REST API integration for scalable expense management

View Project
on GitHUB

View Project
on streamlit

Expense Tracking System

expense breakdown by category

Expense Tracking System

here using mySQL

Project Details

This project is an end-to-end Expense Tracking System developed using Streamlit and FastAPI. Users can input, filter, and view their expenses categorized by type and date. The system supports visual analysis through bar and pie charts, integrates REST APIs for backend operations, and provides a responsive, interactive frontend. Ideal for managing personal or small business finances efficiently.

Machine Learning Project

Premium Health Insurance Cost Predictor

Domain/Function: Healthcare / Insurance

An ML-powered Streamlit web app that predicts the insurance cost of a person based on age, BMI, smoking status, and other factors. Deployed on Streamlit Cloud with an intuitive interface for real-time premium prediction.

View Project
Engagement

View Project
on GitHUB

View Project
on Streamlit Cloud

Other Tools

Streamlit

Git

GitHub

jupyter Notebook

vs code

Premium Health Insurance Cost Predictor

when i was deploying my streamlit app they taught me somthing new

Premium Health Insurance Cost Predictor

how it's work?

Project Details

This project is a Streamlit-based ML web application that predicts the health insurance premium based on user input such as age, gender, BMI, number of children, smoker status, and region. The model is trained on a cleaned dataset using Linear Regression. It offers a user-friendly interface and is deployed online using Streamlit Cloud. GitHub repo includes all code, notebook, and deployment files.

Project video