Undergrad Computer Science student at the University of Arkansas with little experience working in the field. Currently seeking to find a role as an intern at a software development company. Motivated to learn from experienced team members while sharing innovative ideas to improve as a programmer.
· Investigate, clean, and visualize data
· Understand and frame a problem as a supervised machine learning problem including whether it is a regression or classification problem and to incorporate the application requirements
· Apply and tune common machine learning models (for regression and classification) in Python by making use of multiple ML toolkits.
· Demonstrate the ability to qualitatively and quantitatively evaluate the quality of trained regression and classification models.
· Communicate technical concepts (both orally and in writing) for an audience who may have a limited technical background.
· Identify the potential for bias in ML models and explain its implications along with techniques for mitigating it.