Teja Kiran Kiran

Tamil Nadu, India 0+ yrs exp 71 · Very Good

About

B.Tech graduate in Artificial Intelligence and Data Science with hands-on internship experience in software development and data science. Skilled in Python, SQL, JavaScript, React.js, REST APIs, and databases, with experience developing web applications, processing data, and building machine learning solutions. Strong foundation in programming, problem-solving, object-oriented programming, and collaborative software development.

Skills & Expertise (23)

REST APIs Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

JavaScript Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

CSS3 Intermediate

6.0/10

Years Exp

Postman Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

CRUD Operations Intermediate

5.5/10

Years Exp

Object-Oriented Programming Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

React.js Intermediate

5.5/10

Years Exp

Microsoft Excel Intermediate

5.0/10

Years Exp

Problem Solving Intermediate

5.0/10

Years Exp

FastAPI Beginner

4.0/10

Flask Beginner

4.0/10

Django Beginner

4.0/10

Angular Beginner

4.0/10

TensorFlow Beginner

3.5/10

Keras Beginner

3.5/10

Work Experience

Python Full Stack Intern

Besant Technologies

Apr 2025 - Sep 2025

Developed 10+ responsive user interface components using HTML5, CSS3, and JavaScript and integrated them with REST API endpoints. Developed and deployed RESTful APIs across the software development lifecycle, including API design, testing, and deployment. Standardized Git branching and pull request workflows across a five-member development team, reducing merge conflicts and improving review turnaround by 30%.

Data Science Intern

VEI Technologies Pvt. Ltd.

Oct 2023 - Nov 2023

Cleaned, validated, and processed 50,000+ structured and unstructured data records, reducing downstream data pipeline errors by 25%. Supported machine learning model deployment and production performance monitoring in collaboration with cross-functional teams. Performed data analysis to identify actionable insights that contributed to product and pricing decisions.