Daniela Ortiz

Background

About Daniela Ortiz

I am an experienced data professional with dual MScs in Statistics and Industrial Engineering. My expertise lies in constructing and analyzing statistical, machine learning, and operational research models, with a strong focus on causal inference, machine learning, and deep learning (particularly in computer vision). I have hands-on experience implementing a variety of advanced analytical models, including causal inference for vaccine safety analysis and contrastive deep learning for 2D image classification in CryoEM. These projects have honed my ability to work both independently and collaboratively in multidisciplinary teams. I am proficient in Python and R programming, Microsoft Office, and have intermediate experience using Bash (Linux), Git and PyTorch, enabling me to efficiently manage and execute data science projects. With a passion for applying data-driven solutions to real-world challenges, I am excited to contribute my skills and knowledge to innovative data science initiatives.