Saipriya Gadupudi

Motivated Computer Science graduate skilled in advanced technologies and cybersecurity. Experienced in applying theoretical knowledge to real-world challenges, enhancing organizational performance. Dedicated to professional growth and achieving significant outcomes in fast-paced environments.

Crop Yield Prediction using Machine Learning
Major Project

• Developed a machine learning model to predict crop yields based on environmental factors such as soil type, rainfall, temperature, and crop type.
• Collected and preprocessed agricultural datasets, performed feature engineering, and applied regression algorithms (e.g., Linear Regression, Random Forest) to build predictive models.
• Evaluated model performance using metrics like RMSE and R², and optimized it through hyperparameter tuning.

Image-Based Phytopathology Assistance Using Computational Intelligence Techniques
Duration: 6 Months

• Led the project focused on detecting unhealthy regions of plant leaves using advanced image processing techniques.
• Implemented steps such as image acquisition, preprocessing, segmentation, feature extraction, and classification using machine learning algorithms.
• Designed the system to automatically detect and diagnose plant diseases, contributing to the field of agricultural technology.

• VIRTUAL INTERNSHIP Certificate From Palo Alto Networks Assessment In Fundamentals Of Cloud Security
• Cyber Security Virtual Internship From AICTE

• Reading Books: Passionate about expanding knowledge in technology and self-improvement.
• Music & Movies: Enthusiast of various genres, with a keen interest in soundtracks and cinematic arts.
• Tech Communities & Hackathons: Active participation in local tech meetups and online hackathons to stay updated with industry trends.