Mopuru Vasanthi

To seek an opportunity in well-known organization that allows me to develop and enhance my skills and become a valuable part of the organization's growth.

DATA SCIENCE, ExcelR Solutions

Machine Learning with Python (IBM)

• Telugu
• English

• Father's Name: Mopuru Sreenivasula Reddy
• Mother's Name:Mopuru Sreedevi
• Date of Birth: 06/18/2002
• Nationality: India

Data Analytics, IBM Skillsbuild Program

DataScience Internship , AIVariant

• Problem solving abilities
• Enthusiastic
• Disciplined & Dedicated

 Employee Management System 

• Brief Description:

Developed a comprehensive Employee Management System using Spring Boot and Reactjs, with MySQL as the database and RESTful APIs for seamless integration.

• Key Responsibilities:

Designed and implemented the backend system using Spring Boot, including RESTful APIs for CRUD operations on employee data.
Created a responsive frontend using Reactjs, ensuring a user-friendly interface for managing employee information.
Integrated MySQL database to store and retrieve employee records efficiently.
Tested API endpoints using Postman for functionality, performance, and security.

Student Management System

• Brief Description:

Developed a robust Student Management System utilizing Spring Boot and Reactjs, integrated with MySQL for data storage and employing RESTful APIs for seamless communication.

• Key Responsibilities:

Designed and implemented the backend system using Spring Boot, including RESTful APIs to manage student data (CRUD operations).
Developed a responsive and intuitive frontend interface using Reactjs for efficient student information management.
Integrated MySQL database for storing student records securely and ensuring data integrity.
Conducted thorough testing of API endpoints using Postman for functionality, performance, and reliability.
Customer Personality Analysis

• Brief Description:

Utilized data science techniques to analyze customer behaviors and preferences, aiming to understand and segment customer personalities for targeted marketing strategies.

• Key Responsibilities:

Collected and preprocessed customer data from various sources, ensuring data quality and integrity.
Applied machine learning models such as clustering (e.g., K-means) and classification (e.g., decision trees) to segment customers based on behavior and preferences.
Conducted exploratory data analysis (EDA) to uncover patterns and trends in customer data.
Developed predictive models to forecast customer preferences and behaviors.

I hereby acknowledge that all the information given above is true and accurate to the best of my knowledge.