I will evaluate your data analysis needs and find the best solution for your business or research goals. No over-complicated and expensive methods when simple statistics will get you what you want in a faster and more cost-effective way.
I am a PhD(c) in Bioinformatics and I hold a M.Sc. in Artificial Intelligence, a B.Sc. in Computer Engineering and a B.Sc. in Business Management. I have more than 8 years of experience in data analysis and machine learning in different domains. I focus on the Python data stack, from Pandas and Numpy to PyTorch and Streamlit.
When you decide to work with me, you can expect a thorough, reliable and responsive professional determined to drive your project forward. You will receive the personalized attention of an independent contractor. I will be your sole point of contact and be in charge of all the solutions tailored to your needs.
Development and deployment of interpretable diverse machine learning models for predictive tasks in any domain.
I have done ischemic stroke lesion segmentation, hospitalization time prediction and hippocampal volume segmentation and measurement.
Development, evaluation and deployment of LLM-based AI agents for the automation of any task. This includes the use of multimodal representation/generative foundation models, semantic search through retrieval-Augmented Generation (RAG) systems and knowledge graphs, and more.
Whatever your data goals are, I will craft a solution tailored to your needs!
For example, StockPicker is a web app to visualize and compare the performance of different financial securities in a given period of time.
Write me an email to book a call. If you can already describe your data needs, even better. Find all my other contact points at the bottom of the page.