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Chandana Darapaneni

@chandanadarapaneni

Python developer who built phishing detection and image forgery systems, including a deep learning model with approximately 93% accuracy.

India

Message

I developed a Python tool to detect and prevent phishing attacks by analyzing URLs for malicious patterns, combining machine learning classification with regular expressions.

For my digital forensics project, I developed an ELA + CNN image forgery detection system using TensorFlow/Keras and a PyQt5 interface. It classified images as authentic or forged and achieved approximately 93% overall accuracy.

Experience

Work history, roles, and key accomplishments

Data Science & AI Intern

XylofyAI

Jun 2026 - Jul 2026 (1 month)

Developed House Price Prediction, Employee Attrition Prediction, and Sales Forecasting projects using Python and machine learning models, including Gradient Boosting and SARIMA, and implemented a Streamlit dashboard for data visualization.

Python Machine Learning Gradient Boosting SARIMA Streamlit Data Visualization

Python Development Intern

CodexIntern

Feb 2025 - Feb 2025 (0 months)

Developed an automated Google Search Results Scraper using Selenium/BeautifulSoup, a NumPy-based Matrix Operations Tool, and a Flask-based Sentiment Analysis Web Application using TextBlob.

Python Selenium BeautifulSoup NumPy Flask TextBlob

Education

Degrees, certifications, and relevant coursework

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Bachelor of Technology (B. Tech), Computer Science & Engineering

2022 -

Grade: 9.2/10.0

Pursuing a Bachelor of Technology in Computer Science and Engineering with a GPA of 9.2/10.0, covering coursework in data structures, database management, algorithms, and web development.