'Dinma Ruth A.

Doctoral Advisor (AI and Machine Learning) @ The George Washington University

About

Experienced AI expert with a doctorate in Artificial Intelligence (AI) while holding a strong background in applied economics, finance, and data science combined with about 8 years of experience in data analytics, ML, statistical modeling, economic research, project management, leadership, storytelling, and data-driven decision-making. Skilled in various programming languages and tools, including R, SQL, Python, Databricks, Spark, Power BI, Tableau, Google Analytics, etc. Excellent communication and prioritization skills with a talent for translating complex data into actionable insights. Recognized for creativity, critical thinking, and problem-solving abilities. Passionate about helping others understand and leverage the power of data. A proven track record of delivering impactful results in research, analysis, and decision-making across diverse industries.

Country

United States

City

New York

Industry

Financial Services

Skill

Google BigQuery, Fraud Analysis, Risk Assessment, Business Reviews, Keras, Artificial Intelligence (AI), Deep Learning, Natural Language Processing (NLP), Gen AI, Data Quality, Statistical Packages, Quality Procedures, Statistical Analysis, Business Metrics, Machine Learning, Data Science, Data Mining, Salesforce.com, Data Visualization, Statistical Modeling

Experience

Doctoral Advisor (AI and Machine Learning)

The George Washington University

2025-12 - Present · 10 mos

Serve as an Academic Advisor for doctoral candidates in the AI & Machine Learning program, providing structured guidance throughout the dissertation phase. Conduct bi-weekly advisory meetings to support students on research design, problem formulation, methodology selection, and experimental execution. Advise on applied AI and machine learning research, including generative models, model evaluation, and responsible AI considerations. Support students in aligning academic research with real-world applications, ensuring rigor, feasibility, and timely progress toward graduation.