DARSHAN GOWDA

I’m a Computer Applications graduate with hands-on experience across AI, full-stack web development, and data analytics. I enjoy turning real-world problems into measurable models and useful products.

In my AI internship, I built an Email Spam Classifier using Python and Scikit-Learn with TF-IDF feature extraction, reaching 97% accuracy on SMS datasets. I also developed a Twitter Sentiment Analysis model using NLTK and TF-IDF to classify tweets into positive, negative, or neutral, applying supervised learning across multiple NLP tasks.

I’ve complemented that with a GenAI Data Analytics Simulation internship, where I learned core Generative AI concepts applied to data analytics. I automated analysis pipelines and focused on interpreting and presenting AI-assisted insights.

I’ve also created a full-stack AI Personal Finance Management system with Python, PHP, MySQL, HTML/CSS, and JavaScript—supporting expense tracking, budget management, analytics dashboards, and AI-driven financial recommendations. I’m now eager to contribute in a technology-driven environment where problem-solving, communication, and continuous learning matter.