Valencia Saldanha

I’m a detail-oriented Computer Science student focused on building impactful technology solutions. I enjoy designing, developing, and deploying efficient applications with a strong emphasis on performance and scalability.

In my internship at PRAGATI SOFTWARE PVT.LTD, I developed and deployed predictive machine learning models using Python and Scikit-Learn, improving model accuracy by 5% through end-to-end data preprocessing and feature engineering with Pandas and NumPy. I also trained and evaluated supervised learning models using Accuracy, Precision, Recall, and F1-score to align with project and business objectives.

Through my EDUSKILLS AI/ML virtual internship and university projects, I built text classification and sentiment analysis workflows using NLP techniques, and created web experiences like a weather forecasting website with a chatbot using the OpenWeather API. I also developed an e-commerce chatbot with a Flask-based backend integrated with an SQL database managing 100+ product records, including user authentication and session management—always writing clean, maintainable code.