Python Full Stack Developer

NARASIMHA CHINTHAMANI

********************@*****.*** 905-***-****

EDUCATION

B. Tech in Computer Science

Engineering 7.75 GPA

Kalasalingam University, Madurai,

Tamil Nadu

Class XII 9.12 GPA

Narayana Junior College,Tirupati,

Andhra Pradesh

PROFILE

I am skilled Full Stack Developer with a strong foundation in Python, HTML5, CSS3, JavaScript, and MySQL. Has demonstrated expertise in building scalable web applications, leveraging machine learning for innovative solutions and ensuring secure systems through advanced technologies

KEY SKILLS

Programming Languages: Python

(Data Analysis, Scripting,

Frontend Technologies: HTML5,

CSS3, JavaScript (ES6+, DOM

Manipulation, Responsive Design,)

Database Management: MySQL

(Relational Database Design, Query

Optimization, Stored Procedures)

Tools: Git (Version Control,

Collaboration)

ACHIEVEMENTS

Python Bronze Badge Hackerrank

Problem solving Bronze Badge

Hackerrank

INTERESTS

Cooking

Problem Solving

Travel

PROJECTS

Traffic Sign Detection

• Description: Developed a deep learning solution to detect traffic signs and provide real-time audio feedback for visually impaired individuals.

• Tech Stack: Python, OpenCV, Deep Learning (TensorFlow, Keras)

• Impact: Enhanced accessibility and safety for visually impaired commuters by enabling recognition of traffic signs.\ Smart Access Control in Number Plate Recognition

• Description: Designed a security system to evaluate vehicle number plates and restrict unauthorized access using CNN architectures.

• Tech Stack: Python, Deep Learning (CNN, TensorFlow), Online Server (Cloud Deployment)

• Impact: Strengthened security protocols by ensuring only authorized vehicles gain access to secure domains

Anomaly Detection in Self-Organizing Networks

• Description: Implemented a machine learning model to evaluate IP addresses, classify network data, and identify anomalies using clustering and neural networks.

• Tech Stack: Python, Machine Learning (Scikit-learn, Pandas), Neural Networks (Keras, TensorFlow)

• Impact: Improved network security and efficiency by automating anomaly detection processes.

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