Artimes Rashidi Torghi

About Artimes Rashidi Torghi

I am a results-driven Data Scientist with a strong foundation in machine learning, statistical inference, data structures, and quantitative analysis, dedicated to transforming complex data into actionable insights. With dual master’s degrees in Business Analytics (Data Science Track) and Economics and multiple certifications in Machine Learning, Python, SQL, and Power BI, I bring both technical expertise and a business-oriented mindset to solving real-world problems.

Experience

1. Project Manager

   Roxie Glass

   Aug 2025 — Present · Bellevue, WA, US

   Managed multi-project workflows using Microsoft Planner, assigning tasks, setting dependencies, and developing Gantt-style project timelines to improve delivery visibility and on-time execution• Built project performance dashboards to visualize profit by project, labor cost per project, and profit per labor hour, enabling data-driven resource allocation decisions• Tracked project status buckets in Microsoft Planner to monitor workflow stages, blockers, and completion progress across concurrent jobs• Developed machine learning–based delay and over-cost prediction models using historical project data to improve Overcost Re-Estimation and project risk forecasting• Designed and implemented an EAC (Estimate at Completion) improvement model, increasing forecast accuracy by iteratively adjusting baseline estimates using Cost Performance Index (CPI) and project performance indicators• Applied log-linear regression modeling and boosting-inspired iterative refinement to predict final project costs using features such as material cost, labor cost, project type, area, floors, basements, and location• Evaluated model performance using confusion matrices and ROC-AUC, comparing NewEAC predictions against traditional estimation methods• Created trend visualizations by project type and geographic location to identify cost risk patterns over time• Designed and maintained inventory tracking systems for materials and project assets to reduce shortages, control waste, and improve procurement planning

Education

• The University of Texas at Dallas

  Master of Science - MS, Economics

• Allameh Tabataba'i University

  Bachelor of Science - BS, Economics

• The University of Texas at Dallas

  Graduate Certificate, Machine Learning

• Salam high school

  High School Diploma, Mathematics

  2012 — 2016

• The University of Texas at Dallas

  Master of Science - MS, Business Analytics