Chakradhar Maduri

About Me

Hi, I'm Chakradhar Maduri, currently pursuing my B.Tech in Computer Science Engineering. As an enthusiastic student with a strong interest in Artificial Intelligence (AI) and Machine Learning (ML), I am excited to apply my academic knowledge and skills to these rapidly evolving fields.

Throughout my studies, I have developed a solid foundation in computer science principles and gained exposure to various technologies. My fascination with AI and ML has grown as I explore how these technologies can be leveraged to address complex challenges and drive innovation. I am particularly interested in Predictive Analytics, Neural Networks and Deep Learning, Natural Language Processing (NLP), and Computer Vision.

In addition to my coursework, I actively engage in Online Courses, Workshops and Seminars, Student Projects, AI Communities, and Hackathons. These experiences keep me motivated and help me stay updated on the latest advancements in the field.

As I continue my studies, I am eager to gain practical experience and collaborate on projects related to AI and ML. I look forward to opportunities that will allow me to grow professionally and contribute to impactful solutions in the tech industry.

Feel free to connect with me on LinkedIn or reach out through my contact information to discuss opportunities, share insights, or collaborate on AI and ML projects!

Qualifications

B.Tech - Computer Science Engineering

Malla Reddy Institute of Technology

2022-2026 (Pursuing)

CGPA: 8.2

Intermediate (+2)

Krishnaveni jr college

2020-2022

Percentage(%): 88.7

SSC (10TH)

Montessori High School

2019-2020

GPA: 10.0

Work Experience

Python Developer Intern

Durbhasi Gurukulam Private Limited

Duration: Sep 2025 - Present

As a Python Developer, my role involves designing and building backend applications, developing RESTful APIs, and working with databases such as MySQL for efficient data management. I focus on writing clean, scalable code, implementing authentication and security, and deploying applications using tools like Docker and Git to deliver reliable real-world solutions.

Virtual Internship – Introduction to Data Science

Commonwealth Bank

Duration: Aug 2025 - Aug 2025

- Demonstrated proficiency in creating data engineering pipelines to aggregate and extract valuable insights from datasets, optimizing data-driven decision-making.
- Acquired skills in anonymizing personal data within datasets, ensuring compliance with data privacy regulations.
- Proposed effective data analysis approaches, particularly related to social media, and demonstrated the ability to design well-structured databases for efficient information management.

Virtual Internship Trainee – Data Visualization

Tata Group

Duration: Apr 2025 - Apr 2025

Engaged in tasks focusing on data visualization techniques to empower business insights.
Developed skills in interpreting complex data and presenting it in a comprehensible manner to support decision-making processes.

Virtual Internship – Data Analytics

Deloitte

Duration: Feb 2025 - Feb 2025

Completed real-world tasks simulating data cleaning, analysis, and reporting for a client scenario.
Gained exposure to data-driven decision-making processes and stakeholder communication.

Projects

AI Chatbot

The Simple ChatBot project is a Python-based interactive chatbot application designed to provide real-time intelligent responses to user queries. It features a Streamlit frontend for an intuitive chat interface and integrates with OpenAI GPT to generate dynamic AI responses. The project follows a modular design, with separate modules for different AI bots (OpenAIBot, GeminiBot, GroqBot), ensuring scalability and maintainability. For projects requiring backend support, an optional FastAPI backend handles API requests, manages conversation flow, and allows easy integration of multiple AI providers. Sensitive information, such as API keys, is securely managed using environment variables with .env files. Through this project, users can experience seamless AI-driven conversation, while developers gain hands-on experience in AI integration, frontend development, and secure environment management.

View My GitHub Project

SmartTask – End-to-End Task Management Application

I developed a full-stack Task Management System using FastAPI (Python) for the backend, React.js for the frontend, and MySQL for data persistence. The application supports complete CRUD operations with secure JWT-based authentication, proper validation, and error handling. I designed and integrated a relational database schema with SQLAlchemy ORM, built an interactive React interface with protected routes, and containerized the entire system using Docker & Docker Compose. The project also includes API documentation via Swagger and Postman, making it easy to test and collaborate.

View My GitHub Project

Blockchain-Based Certificate Verification System

A secure and tamper-proof platform for issuing and verifying academic certificates using blockchain and SHA-256 hashing. Admins can issue certificates, while students can verify them independently through an interactive Tkinter GUI. This system ensures authenticity, reduces manual effort, and builds trust between institutions, students, and employers.

View My GitHub Project

ECLAT Algorithm

The ECLAT (Equivalence Class Transformation) algorithm identifies frequent itemsets by using a vertical data format where items are linked to their transaction lists. It intersects these transaction lists to find which item combinations appear together frequently. This depth-first search approach avoids generating many candidate itemsets, making it more efficient. However, it can be memory-intensive for large datasets and complex to implement. ECLAT is useful in market basket analysis and other pattern discovery tasks.

View My GitHub Project

Certifications

Data Visualization with Python | IBM

I've successfully completed the "Data Visualization with Python" course, offered by IBM through Cognitive Class. This course enhanced my skills in:
- Creating insightful visualizations using Matplotlib, Seaborn, and Folium
- Effectively communicating data-driven stories
- Leveraging Python for real-world data visualization scenarios
Data visualization is a crucial aspect of analytics and decision-making, and this certification marks another step in my data journey.

Data Analysis with Python | IBM

I have successfully completed the Data Analysis with Python course, provided by IBM through Cognitive Class. This certification has enhanced my proficiency in Python-based data analysis, covering essential techniques such as data manipulation, visualization, and statistical analysis.

TCS iON Career Edge - Young Professional

I have successfully completed the TCS iON Career Edge - Young Professional certification program. This comprehensive course has strengthened my expertise in communication skills, business etiquette, resume writing, interview techniques, and foundational IT and accounting skills, among other key professional competencies. I extend my sincere gratitude to TCS iON for providing this valuable learning opportunity. I look forward to applying these skills in my professional journey and continuing to enhance my career growth.

Python for Beginners In Depth (Udemy)

Successfully completed a comprehensive introductory Python programming course, covering Python syntax, control structures, data types, file handling, and small projects. Built a strong foundation for advanced topics like data analysis, machine learning, and automation.

Python3

Completed a comprehensive Python3 programming course that covered fundamental and advanced topics, including data structures, algorithms, object-oriented programming, and libraries such as NumPy and Pandas. Acquired hands-on experience in writing efficient Python code, developing scripts, and solving real-world problems. This certification demonstrates a solid understanding of Python3 and its applications in various domains, including data analysis and software development.

Claude AI

I have successfully completed a comprehensive course in Claude AI, covering advanced concepts in artificial intelligence and machine learning. This certification demonstrates my ability to leverage Claude AI tools for developing and implementing intelligent solutions. The course included hands-on projects and practical applications, enhancing my skills in AI model training, data analysis, and problem-solving using Claude AI technologies.

Prompt Engineering

This certificate acknowledges the completion of a specialized course in Prompt Engineering. The course covered advanced techniques in crafting effective prompts for natural language processing models, including strategies for optimizing model responses and fine-tuning output for specific use cases. This certification demonstrates a solid understanding of prompt design principles and practical skills in leveraging language models for various applications.

About Me

Qualifications

B.Tech - Computer Science Engineering

Intermediate (+2)

SSC (10TH)

Work Experience

Python Developer Intern

Virtual Internship – Introduction to Data Science

Virtual Internship Trainee – Data Visualization

Virtual Internship – Data Analytics

Projects

AI Chatbot

SmartTask – End-to-End Task Management Application

Blockchain-Based Certificate Verification System

ECLAT Algorithm

Certifications

Data Visualization with Python | IBM

Data Analysis with Python | IBM

TCS iON Career Edge - Young Professional

Python for Beginners In Depth (Udemy)

Python3

Claude AI

Prompt Engineering

Skills

Technical Skills

Soft Skills

Workshops & Hackathons

Hack the verse Hackathon

Interests & Hobbies

Contact Information