Daniel Marulanda

Background

About Daniel Marulanda

As a dedicated Data Scientist, I excel in leveraging advanced statistical models and machine learning techniques to drive impactful insights and solutions. With extensive experience in Python, R and SQL, I have led projects that forecast delivery arrivals and resource availability across various locations nationwide, utilizing different forecasting models. Additionally, I have created and deployed end-to-end models, ensuring seamless integration and execution within various business processes. My proficiency with these models has allowed me to deliver precise predictions and optimize operations effectively. During my PhD, I specialized in deep learning, focusing on the design and optimization of transformer models for image classification and generation. This research has equipped me with a profound understanding of neural networks and their applications, positioning me at the forefront of innovation in the field. Complementing my industry experience is my academic background as a professor of Mathematics and Engineering. This role has sharpened my analytical and problem-solving skills and enriched my ability to communicate complex concepts clearly and effectively.