CHALLA VENKAT RAMANA REDDY

Enthusiastic to associate with an innovative organization and secure a challenging position where Skills and hard work can be utilized towards continuous growth and advancement of the organization. STRENGTHS: Hardworking, Honest, Punctual, Adaptable to Dynamic Challenging Environment, Good communication skills and Decision making. Dedicated professional with history of meeting company goals utilizing consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.

• Certified Data scientist from Guvi Chennai under IITM

Project Title: Real-Time Data Extraction and Machine Learning for Optimized Uber

Ride Booking

Objective:

Develop a system that extracts real-time data from Uber, analyzes it using machine learning algorithms, and provides users with optimized Uber ride booking options. The application will allow

users to input their pickup location, destination, and pickup time through a Streamlit interface, and it will suggest the best time to book an Uber ride based on the predicted fare.

Project Scope:

• End-to-End Development: The project will involve real-time data extraction, machine learning for fare prediction, and delivering results via a Streamlit application.

• Real-World Relevance: The system will optimize Uber ride booking by suggesting the cheapest fare times, potentially saving users money and time.

Project Title: Plant Disease Detection from Images

Objective:

Develop a comprehensive Streamlit application that allows users to upload images of plant leaves and accurately predict the presence and type of plant disease using a Convolutional Neural Network (CNN) model. This project involves designing, implementing, and optimizing a solution that integrates machine learning, computer vision, and user interface development.

Project Scope:

• End-to-End Development: T ake responsibility for all aspects of the project, from setting up the image upload interface in Streamlit to training the CNN model and delivering a functional,

user-friendly application.

• Real-World Relevance: Address practical applications in agriculture, providing a tool that helps farmers or gardeners quickly diagnose plant diseases and take appropriate actions.

• Date of birth : July Sth, 1999
• Gender : Male
• Nationality : Indian
• Languages Known : English, Hindi, Telugu
• Marital Status : Single
• Hobbies : Photography,Playing Cricket, Listening Music, Driving