REVANTH KONDURU

Aspiring Data Scientist | Data Analyst
Hyderabad, IN.

About

B.Tech CSE (Data Science) graduate with skills in C, Python, Java, R, data structures, algorithms, and OS fundamentals. Experienced in deep learning, Android development, SQL, and Tableau. Knowledge of embedded systems, networking protocols, multimedia processing, wireless, and IoT technologies.

Education

Anurag University
Hyderabad, Telangana, India

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B. Tech

Computer Science and Engineering (Data Science)

Grade: 7.67

Certificates

Data Visualization with Tableau

Issued By

Infosys

Microsoft Excel for Data Analysis

Issued By

Coursera

SQL Database for Beginners

Issued By

Infosys

Getting Started with Threat Intelligence and Hunting

Issued By

IBM

Skills

Programming Languages

C, Python, Java, R.

Databases

SQL, Joins, Relationships, Custom SQL.

Data Analysis & Visualization

Tableau, Data Visualization, Dashboard Creation.

Machine Learning

Convolutional Neural Networks (CNN), Deep Learning.

Office Productivity

Microsoft Office, Excel, Word, PowerPoint, Outlook.

Projects

DressUpAI: Real-Time Virtual Clothing Try-On System

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Summary

DressUpAI is a machine learning and deep learning–based application designed to enhance the online fashion shopping experience by enabling users to virtually try on clothes in real-time. The system utilizes OpenCV, Dlib, and Mediapipe for face and pose detection, allowing garments to be overlaid accurately on a user's webcam feed. A Convolutional Neural Network (CNN) built with TensorFlow classifies the user's skin tone to provide personalized clothing color suggestions.

Plant Disease Detection and Identification Using Convolutional Neural Networks

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Summary

Developed a CNN-based image classification model using TensorFlow to accurately identify medicinal plants native to India. Built and deployed a user-friendly Streamlit web application that allows users to upload plant images, receive instant predictions, and view detailed medicinal properties. Implemented image preprocessing, data augmentation, and performance evaluation (accuracy, precision, recall) to ensure high model reliability.

Amazon Prime Data Analysis using Tableau

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Summary

Executed a comprehensive analysis of Amazon Prime Movies and TV Shows datasets sourced from Kaggle to derive actionable insights into regional viewership trends and content performance. Utilized SQL for data cleaning, transformation, and preparation, ensuring high data quality and integrity. Designed and developed over 10 interactive Tableau dashboards incorporating advanced visualizations, including maps, trend lines, and comparative charts, to highlight key patterns in genre preferences, release year distribution, and country-specific demand.