Diana Huertas
Artificial Intelligence and Machine Learning Intern @Minnodi Llc
Signup · Get unlimited contacts
WORK HISTORY
Artificial Intelligence and Machine Learning Intern @Minnodi Llc
Designed and implemented machine learning models to analyze and predict data trends. • Conducted data collection, cleaning, and feature engineering to optimize data quality. • Developed algorithms for classification, regression, and clustering using Python and TensorFlow. • Performed exploratory data analysis (EDA) to identify patterns and extract insights. • Assessed model accuracy using metrics such as accuracy, precision, and recall. • Documented project workflows, including data preparation, model architecture, and evaluation methods. • Collaborated with cross-functional teams to integrate AI solutions into business processes. • Researched and applied advanced machine learning techniques, including neural networks and NLP. • Created visual reports and dashboards to present key insights and model outputs. • Engaged in workshops and training to stay updated on emerging AI technologies.
EDUCATION
University of Maryland Baltimore County
Bachelor of Applied Science - BASc, Information Systems
Penn State University
Bachelor of Applied Science - BASc, Information Technology - Information Systems
Frederick Community College
Associate of Science - AS, General Studies
ABOUT DIANA HUERTAS
I am a data and machine learning–focused professional with a background in Information Sciences and Technology, experienced in analyzing, validating, and modeling data to support operational and business decisions. My work centers on preparing high-quality datasets, building and evaluating machine learning models, and translating complex data into clear, actionable insights.I have hands-on experience using Python for data analysis, exploratory data work, and basic machine learning workflows, along with data visualization to communicate trends, performance metrics, and outcomes. I am comfortable working across the full data lifecycle, from data collection and quality checks to analysis, reporting, and model iteration, while maintaining accuracy, documentation, and reproducibility.In addition to analytics, I bring a strong systems mindset and experience collaborating with product, operations, and technical teams to improve data workflows and support automation efforts. I thrive in environments where data integrity, analytical thinking, and cross-functional collaboration are critical, and I am motivated by opportunities to apply data and machine learning to real-world problems at scale.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.