Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic
KONDAMAREDDY NAMASWINI

KONDAMAREDDY NAMASWINI

Nellore, Andhra Pradesh

Summary

Dedicated IT professional with expertise in Python programming and SQL, focused on utilizing technology to address real-world challenges. Strong communication skills and a proactive approach to problem-solving enhance team collaboration. Committed to continuous growth within dynamic organizations in the evolving tech landscape.

Overview

1
1
Certification

Work History

Intern

Trianz Digital Consulting Pvt. Ltd.
Hyderabad
09.2024 - 01.2025

Contributed as a developer on Avrio-Sustenance project within Generative AI team.
Improved code quality through comprehensive coverage analysis using SonarQube.
Developed proof of concept for CMS-based website, showcasing innovative solutions.

Education

Bachelor of Technology - CSE

SRMIST
Chennai, Tamil Nadu
01-2025

Skills

  • Python Programming
  • Web development
  • SQL
  • Power BI
  • Tableau
  • Unit Testing

Certification

  • Python Programming
  • Web Development Bootcamp
  • Introduction to GenAI
  • AWS DevOps Engineer Pro: Mastering CI/CP Pipelines
  • Oracle Architect Associate
  • Oracle Data Platform Foundations Associate
  • Oracle Fusion Cloud Applications ERP Foundations Associate

Projects

  • Twitter Sentiment Analysis : A project to analyze the sentiment of tweets using natural language processing. The process involves collecting data via the Twitter API, preprocessing the text, and applying machine learning models
  • ChatBot using LLM : This project focuses on developing a conversational AI chatbot using a large language model (LLM) like GPT or BERT It involves training the model to understand and respond to user queries effectively. The chatbot can be integrated into websites or mobile apps to provide automated customer support or user interaction.
  • Skin Disease Detection Using YOLO V5 : This project uses YOLO V5, a real-time object detection model, to identify and classify skin diseases from images. The dataset consists of labeled images of skin conditions, which are used to train the model. After training, the system can detect and highlight areas of concern in new skin images, aiding in early diagnosis.

Timeline

Intern

Trianz Digital Consulting Pvt. Ltd.
09.2024 - 01.2025

Bachelor of Technology - CSE

SRMIST
KONDAMAREDDY NAMASWINI