Ankita Survase

I am a Computer Engineering undergraduate with a strong interest in AI, machine learning, and data-driven problem solving. I enjoy building practical solutions that combine technology with real-world impact, especially in domains like analytics, recommendation systems, and intelligent forecasting. I’m comfortable working with Python, SQL, and core ML concepts, and I’m continuously strengthening my foundations in data structures, algorithms, and model building.

I’ve worked on projects such as a product recommendation system for e-commerce marketing, short-term wind power forecasting using machine learning models, and multilingual NLP experiments using transformer-based architectures. These projects reflect my ability to learn quickly, adapt to new technologies, and translate theory into implementation. I’ve also gained hands-on experience through virtual internships and academic programs focused on machine learning and data science.

What drives me is curiosity and the desire to keep improving—whether it’s optimizing a model, understanding why an approach works, or exploring how AI can support business and decision-making. I’m motivated by growth, real-world experience, and opportunities where I can apply my skills while learning from challenging problems.