Rayachoti Vamsi

Entry-level position in Computer Science

Kadapa, Andhra Pradesh 85 · Excellent

About

Computer Science graduate with a strong foundation in Python, SQL, Excel, and problem-solving. Passionate about learning new technologies and building reliable, data-driven solutions. A quick learner with strong analytical, communication, and teamwork skills, seeking an entry-level opportunity to contribute to organizational success while continuously enhancing my technical expertise and delivering high-quality results.

Skills & Expertise (24)

NumPy Advanced

8.1/10

Years Exp

Pandas Advanced

8.1/10

Years Exp

Keras Advanced

8.1/10

Years Exp

TensorFlow Advanced

8.1/10

Years Exp

Python Advanced

8.1/10

Years Exp

GitHub Intermediate

6.5/10

Years Exp

Model Optimization Intermediate

6.5/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

Database Management Intermediate

6.5/10

Years Exp

Object-Oriented Programming Intermediate

6.5/10

Years Exp

MS Excel Intermediate

6.5/10

Years Exp

VS Code Intermediate

6.5/10

Years Exp

Git Intermediate

6.5/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

REST API development Intermediate

5.5/10

Years Exp

Flask Intermediate

5.5/10

Years Exp

Web Application Development Intermediate

5.5/10

Years Exp

React.js Intermediate

5.5/10

Years Exp

CSS3 Intermediate

5.5/10

Years Exp

HTML5 Intermediate

5.5/10

Years Exp

JavaScript Intermediate

5.5/10

Years Exp

Work Experience

Artificial Intelligence and Machine Learning Intern

SmartBridge Educational Services Pvt. Ltd.

Present - Present

Completed an Artificial Intelligence and Machine Learning internship under SmartBridge and APSCHE, gaining hands-on experience in machine learning model development. Worked with Python, TensorFlow, Keras, NumPy, and Pandas for data preprocessing, model training, and performance evaluation. Developed machine learning solutions for image classification and predictive analytics using real-world datasets. Applied data visualization, feature engineering, and model optimization techniques to improve model accuracy and performance.