Rochana Priya Parupalli

I’m a tech enthusiast with a passion for solving real-world problems and leading impactful projects. With a strong foundation in SQL, Python, and cloud computing, I’ve managed R&D initiatives, optimized workflows, and designed systems that work smarter, not harder. I love turning big ideas into practical solutions and keeping teams aligned to deliver results.

But here’s the twist—I’m also a professional Kuchipudi dancer with 16 years of experience, including performances on international stages. Dance has taught me creativity, discipline, and adaptability—skills I bring to every project. Whether it’s leading a team, brainstorming innovative solutions, or managing complex workflows, I approach challenges with a unique blend of logic and artistry.

I’m a curious learner always eager to explore new tools and domains. I’m excited to bring my project management expertise, technical curiosity, and creative problem-solving to a team that values innovation and collaboration. Let’s build something amazing together—where technology meets creativity, and every challenge is an opportunity to grow (and maybe throw in a dance move or two).

COVID-19 Simulation Analysis 

 • Developed Python-based simulation model for COVID-19 spread prediction. 

 • Implemented transition probabilities and stochastic processes.

 • Created data visualization dashboards for result interpretation.

Weather Simulation  

• Developed a weather simulation program in Python using a Continuous-Time Markov Chain  model.  

• Implemented fixed holding times to analyze and simulate realistic weather transitions.  

• Demonstrated expertise in Python programming and probabilistic modeling through this project.

UI/UX Redesign Project - Lorem Ipsum Website
(Team Project, Final Year of Bachelor's in Computer Science)

• Led the redesign of the Lorem Ipsum website to improve usability and user experience, focusing on navigation, mobile responsiveness, and modern design.
• Conducted heuristic evaluations and user journey mapping to identify key usability issues, such as poor navigation and outdated design elements.
• Designed and implemented a responsive, user-friendly interface using HTML, CSS, JavaScript, and Bootstrap, resulting in a 40% improvement in user task completion rates.
• Collaborated with a team of 5 to create wireframes, high-fidelity prototypes, and conduct user testing, ensuring the final design met usability standards and user expectations.

Mobile App Development 

• Designed and developed an app that suggests recipes based on user-provided ingredients.  

• Integrated a smart algorithm to match ingredients with a database of recipes for personalized  recommendations.  

• Enhanced user experience with a simple interface, making cooking more efficient and  accessible.

AWS Lambda Image Processing

• Built a serverless image processing app using AWS Lambda, S3, and EC2 to convert images to greyscale.
• Configured S3 buckets for storage and used CloudWatch to monitor performance metrics.
• Conducted stress testing with Locust on an EC2 instance to evaluate scalability under high workloads.
• Integrated API Gateway for seamless HTTP-based image processing requests.

Raw SQL vs. SQLAlchemy ORM Performance Study

• Compared Raw SQL and SQLAlchemy ORM performance in PostgreSQL for database operations.
• Analyzed execution times and memory usage for insertion, selection, and update queries on datasets up to 50,000 records.
• Demonstrated Raw SQL outperformed SQLAlchemy ORM in execution time by 30% for simple queries.
• Automated query execution and data collection using Python, ensuring accurate and reproducible results.

Cloud and Shadow Segmentation in Satellite Images

• Developed a synthetic dataset of cloud and shadow overlays to train deep learning models like U-Net, DeepLabV3, and Mask R-CNN.
• Improved segmentation accuracy by 15% using synthetic data for training.
• Analyzed the impact of environmental factors (e.g., cloud thickness, sun angle) on segmentation performance.
• Published findings in a thesis, contributing to advancements in satellite image analysis for agriculture and disaster management.

Monitoring VM Performance on AWS EC2

• Configured and monitored an AWS EC2 instance using CloudWatch and stress testing tools like Sysbench and Apache Bench.
• Set up VPC, subnet, and security groups for secure and efficient operation.
• Monitored key metrics like CPU utilization, disk I/O, and network traffic to identify performance bottlenecks.
• Conducted stress tests to evaluate system scalability and reliability under high workloads.

Bchelor's Thesis: Synthetic Data for Satellite Image Segmentation [Presently working on this]

• Created a synthetic dataset of cloud and shadow overlays to improve segmentation accuracy in satellite images.
• Trained and compared U-Net, DeepLabV3, and Mask R-CNN models, achieving a 20% improvement in accuracy.
• Analyzed the impact of environmental factors (e.g., cloud type, sun angle) on segmentation performance.
• Published findings in a thesis, contributing to advancements in satellite image analysis for climate research and urban planning.

• Certification of Initial Training in Cyber Security, Rinex Group, 2021
• Diploma in Kuchipudi Classical Dance
• Certification in Kuchipudi Classical Dance
• B grade artist certification in Doordarshan National Channel, 2023
• Academic excellence award, Tirumala Tirupati Devasthanam, Tirupati, For excellence in B grade awarded in Kuchipudi from Doordarshan Kendra, 2024
• Award and certificate from ATA (American Telugu Association), Awarded 'Natya Mayuri'
• Multiple certificates from 'ShilpaRamam' in Hyderabad and Tirupati
• Awards and certificates from SV Music and Dance College
• Academic excellence award for distinction in diploma in kuchipudi dance, TTD, 2024

1. Improved 'mobile responsiveness by 40%' in a UI/UX redesign project using HTML, CSS, JavaScript, and Bootstrap.

2. Built a 'serverless image processing app' on AWS Lambda, reducing manual work by 60%.

3. Demonstrated 'Raw SQL is 30% faster' than SQLAlchemy ORM for simple queries, optimizing database performance.

4. Created a 'synthetic dataset' for satellite image segmentation, boosting accuracy by 15% using deep learning models.

5. Optimized 'AWS EC2 performance' using CloudWatch, ensuring scalability under high workloads.
Collaborated with a team of 4 in a 'UI/UX redesign project', delivering on time and exceeding user expectations.

6. Streamlined workflows in the **satellite image segmentation project**, cutting preprocessing time by 20%.

7. Professional Kuchipudi Classical Dancer with 16+ years of experience, performing on international stages.

8. Working on a 'thesis on satellite image segmentation', contributing to advancements in agriculture and disaster management.

9. Continuously explored 'cloud computing, data analysis, and AI', staying ahead in the tech landscape.

Meditation/Spiritual Path & Mentoring Dance:

Meditation has become my anchor, helping me stay centered and focused, whether I’m navigating the chaos of college life or preparing for a dance performance. It’s a practice that keeps me grounded and mindful, even in the busiest moments.  

Mentoring Kuchipudi and semi-classical dance is where my passion truly comes alive. Teaching isn’t just about sharing steps—it’s about passing on the discipline, creativity, and joy that dance has brought into my life. Watching my students grow, both as dancers and individuals, is incredibly rewarding. It’s a beautiful blend of my spiritual journey and my love for art, creating a space where I can inspire others while continuing to grow myself.