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rushithareddyyy/README.md

Rushitha Anugu

Software Developer

Data Engineer Cloud Computing Machine Learning Big Data Full Stack


About Me

πŸ”Ή Expert in: Cloud-based analytics, AI/ML pipeline automation, real-time data processing
πŸ”Ή Passionate about: Data-driven decision-making, scalable architectures, high-performance computing
πŸ”Ή Tech Stack: Python | SQL | Java | React | Angular | Vue.js | Spark | TensorFlow | Azure | GCP | Kafka | Databricks


πŸ”§ Tech Stack & Tools

Programming Languages

Python Java SQL C++

🌐 Frontend & UI Frameworks

React Angular Vue.js HTML5 CSS3 JavaScript

☁ Cloud & Big Data

Azure Google Cloud Databricks Kafka Spark

πŸ›’ Databases & Storage

MySQL PostgreSQL Oracle MongoDB

πŸ›  Development & Testing Tools

Postman Jenkins Docker

πŸ“Š Data Science & AI

TensorFlow Scikit-learn Power BI Tableau


Featured Projects

πŸ—³ Election Prediction using Sentiment Analysis

πŸ”Ή Implemented ML algorithms (SVM, NaΓ―ve Bayes) for sentiment analysis
πŸ”Ή Integrated Kafka for real-time data streaming from social media
πŸ”Ή Achieved 97.5% sentiment accuracy and visualized results using Tableau

πŸ“Š AWS-Based Data Warehouse for Scalable Analytics

πŸ”Ή Automated data ingestion from S3 to Redshift using AWS Glue
πŸ”Ή Optimized SQL queries for data transformation and analytics
πŸ”Ή Built interactive Tableau dashboards for real-time insights

πŸ“‘ Real-time Data Streaming & AI Pipeline Automation

πŸ”Ή Built real-time event processing pipelines using Kafka & Spark
πŸ”Ή Automated AI/ML workflows for predictive analytics
πŸ”Ή Optimized data models to support high-volume data processing


Connect with Me

πŸ“§ Email: rushithaanugu01@gmail.com
πŸ’Ό LinkedIn: linkedin.com/in/rushithareddy
πŸ“‚ Portfolio: GitHub


⭐ "Turning raw data into actionable insights, one pipeline at a time!"

Popular repositories Loading

  1. Sentiment-analysis-for-election-prediction Sentiment-analysis-for-election-prediction Public

    sentiment analysis on text data to classify sentiment as positive, negative, or neutral to predict election results

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  2. my-portfolio my-portfolio Public

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  4. Face-Detection Face-Detection Public

    This project implements face detection and recognition using Classifiers, facial feature detection, and real-time video/webcam processing.

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    Improved resume generator based on ATS percentage match and missing keywords with personalized summary

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    By combining responsive design, dynamic theme switching, and smooth animations, this project successfully enhances user experience and ensures seamless functionality across different devices.

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